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Felton Bay Logistics, LLC | Open Energy Information
Open Energy Info (EERE)
Felton Bay Logistics, LLC Felton Bay Logistics, LLC Jump to: navigation, search Logo: Felton Bay Logistics, LLC Name Felton Bay Logistics, LLC Place San Diego Zip 92115 Sector Services Product Strategies for Sustainability Year founded 2010 Number of employees 1-10 Website http://www.feltonbay.com Coordinates 32.7612759°, -117.0735241° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":32.7612759,"lon":-117.0735241,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
Communicating Logistics
Energy.gov (U.S. Department of Energy (DOE)) Indexed Site
Logistics Logistics * Delayed or nonexistent communication * Lack of consistency-follow protocols * No overarching coordination * DUF6 communication is poor * Lesson learned: need enhanced, on-going, open communication prior to planning Routing * Re-examine avoiding population centers * Analyze delta between mixed vs. dedicated trains * Flexibility is key component of planning * Selection needs to include state infrastructure Inspections * Cooperate with federal, state, local parties for an integrated role * Schedule during planning process * Coordination to improve use of limited resources * Integrate new technologies TRANSCOM * Needs full funding * Continuous improvement of technology * Great when working * Protocols for assuring data accuracy * Back-up procedure when system is down Incidents & Accidents
Logistics & Supply Chain Management
E-Print Network (OSTI)
and the logistics industry as the largest growing sector of the transportation industry. Start your own home-based
Asaithambi, Asai
San Diego Bay Bibliography
SDGE power plant; bay ABSTRACT: The marine organisms ofMarine Research KEYWORDS: San Diego Bay; programs; bay South Bay PowerMarine Organisms of South San Diego Bay and the Ecological Effects of Power
Brueggeman, Peter
Integrated framework for reverse logistics
Science Conference Proceedings (OSTI)
Although reverse logistics has been disregarded for many years, pressures from both environmental awareness and business sustainability have risen. Reverse logistical activities include return, repair and recycle products. Traditionally, since the information ... Keywords: gent-based system, information transparency, reverse logistics
Heng-Li Yang; Chen-Shu Wang
Density-based logistic regression
This paper introduces a nonlinear logistic regression model for classification. The main idea is to map the data to a feature space based on kernel density estimation. A discriminative model is then learned to optimize the feature weights as well as ... Keywords: density estimation, logistic regression, medical prediction, nonlinear classification
Wenlin Chen, Yixin Chen, Yi Mao, Baolong Guo
Information Management for Reverse Logistics
Introduction In this chapter, we examine how Information and Communication Technologies (ICT) are being used to support reverse logistics. In this respet, this chapter does not follow a quantitative approach as the rest of the book. Nonetheless, the topics covered in this section outline how ICT systems enable and support the quantitative approaches presented in other chapters of this book. Furthermore, this chapter provides a roadmap to the reader about what aspects of reverse logistics are implemented and what remains to be addressed in the future. Most ICT systems for reverse logistics have been developed to address needs in a specific sector (i.e. decision making on di#erent recovery options of returns, designing a product for optimal end of use recovery, etc.) or to cover the reverse logistics requirements of a particular company. Thus, in our attempt to present this area systematically we need to develop a framework of reference first. For that reason, we go back to the essent
Angelika Kokkinaki; Rob Zuidwijk
NERSC/DOE HEP Requirements Workshop Logistics
NLE Websites -- All DOE Office Websites (Extended Search)
at NERSC HPC Requirements Reviews Requirements for Science: Target 2014 High Energy Physics (HEP) Logistics Workshop Logistics Workshop Location Hilton Washington...
Bay Area | Open Energy Information
Bay Area Bay Area Jump to: navigation, search Contents 1 Clean Energy Clusters in the Bay Area 1.1 Products and Services in the Bay Area 1.2 Research and Development Institutions in the Bay Area 1.3 Networking Organizations in the Bay Area 1.4 Investors and Financial Organizations in the Bay Area 1.5 Policy Organizations in the Bay Area Clean Energy Clusters in the Bay Area Products and Services in the Bay Area Loading map... {"format":"googlemaps3","type":"ROADMAP","types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"limit":500,"offset":0,"link":"all","sort":[""],"order":[],"headers":"show","mainlabel":"","intro":"","outro":"","searchlabel":"\u2026
Location and Schedule Large Scale Production Computing and Storage Requirements for Basic Energy Sciences: Target 2017 BES ASCR NERSC Requirements Review The day-and-a-half...
Fusion Energy Sciences Review Meeting Logistics
Logistics Logistics Location and Schedule The day-and-a-half workshop will be held all day Tuesday, March 19 and on the morning of Wednesday, March 20, 2013. Hotel The hotel will...
Perspectives for logistics clusters development in Russia
This thesis is a normative work aimed at identifying locations in Russia with high, medium and unclear potentials for logistics cluster development. As a framework this work uses four different models of logistics clusters: ...
Tantsuyev, Andriy
Commoditization of the third party logistics industry
Third party logistics companies in the US emerged in the 1980s and have been providing valuable service for companies willing to outsource logistics. Since then the industry has been growing substantially both in terms ...
Manatayev, Yerlan Yergalievich, 1980-
Design and implementation of four enhanced recovery projects in bay fields of south Louisiana
SciTech Connect
This paper reviews the design and implementation of four enhanced recovery projects that were initiated in the shallow-water environment of two bay fields located along the coastline of South Louisiana. These four projects are a caustic augmented waterflood, a miscible carbon dioxide waterflood, both in Quarantine Bay Field, and two polymer augmented waterfloods in the West Bay Field. The paper focuses on the design modifications required for the projects due to the hostile overwater environment and the logistics problems associated with the locations of the projects.
Boardman, R.S.; Moore, L.J.; Julian, M.H.; Bilbrey, D.G.; Moore, J.S.
Design and implementation of four enhanced recovery projects in bay fields of South Louisiana
This paper reviews the design and implementation of four enhanced recovery projects that were initiated in the shallow-water environment of two bay fields located along the coastline of South Louisiana. These four projects are a caustic augmented waterflood, a miscible carbon dioxide waterflood, both in Quarantine Bay Field, and two polymer augmented waterfloods in the West Bay Field. The paper focuses on the design modifications required for the projects due to the hostile overwater environment and the logistics problems associated with the locations of the projects. 4 refs.
NERSC/DOE HEP 2012 Review Logistics
NERSC HPC Achievement Awards Home Science at NERSC HPC Requirements Reviews High Energy Physics (HEP) Logistics Hotel Information Location The review will be held at...
NERSC/DOE ASCR Requirements Workshop Logistics
Workshop Logistics Large Scale Computing and Storage Requirements for Advanced Scientific Computing Research January 5-6, 2011 Location The workshop will be held at NERSC's...
Visualizing the logistic map with a microcontroller
The logistic map is one of the simplest nonlinear dynamical systems that clearly exhibit the route to chaos. In this paper, we explored the evolution of the logistic map using an open-source microcontroller connected to an array of light emitting diodes (LEDs). We divided the one-dimensional interval $[0,1]$ into ten equal parts, and associated and LED to each segment. Every time an iteration took place a corresponding LED turned on indicating the value returned by the logistic map. By changing some initial conditions of the system, we observed the transition from order to chaos exhibited by the map.
Juan D. Serna; Amitabh Joshi
Serna, Juan D
Design of a knowledge-based logistics strategy system
Traditionally, the formulation of logistics strategies to execute various logistics services is done by human experts. In this paper, a knowledge-based logistics strategy system (KLSS) is designed in helping them to support the logistics strategy development ... Keywords: Case-based reasoning, Data warehouse, Knowledge-based system, Logistics strategy, On-line analytical processing
Harry K. H. Chow; K. L. Choy; W. B. Lee; Felix T. S. Chan
Logistical Multicast for Data Distribution linkbordercolor
Logistical Logistical Multicast for Data Distribution Jason Zurawski, Martin Swany Micah Beck, Ying Ding Department of Computer and Information Sciences Department of Computer Science University of Delaware, Newark, DE 19716 University of Tennessee, Knoxville, TN 37996 {zurawski, firstname.lastname@example.com {mbeck, email@example.com Abstract This paper describes a simple scheduling procedure for use in multicast data distribution within a logistical networking infrastructure. The goal of our scheduler is to generate a distribution schedule that will exploit the best network paths by using historic network perfor- mance information. A "spanning tree" is constructed between available logistical depots to help reduce the overall time of data movement. Our hypothesis is that we can generate appropri- ate schedules from historical network measurements. In order to evaluate
Cargo revenue management for space logistics
This thesis covers the development of a framework for the application of revenue management, specifically capacity control, to space logistics for use in the optimization of mission cargo allocations, which in turn affect ...
Armar, Nii A
Addressing Policy and Logistical Challenges to Smart Grid Implementati...
Addressing Policy and Logistical Challenges to Smart Grid Implementation: Federal Register Notice Volume 75, No. 180 - Sep. 17, 2010 Addressing Policy and Logistical Challenges to...
Southern Company: DOE Smart Grid RFI Addressing Policy and Logistical...
Southern Company: DOE Smart Grid RFI Addressing Policy and Logistical Challenges Southern Company: DOE Smart Grid RFI Addressing Policy and Logistical Challenges Southern Company:...
Steffes Corporation Smart Grid RFI: Addressing Policy and Logistical...
Steffes Corporation Smart Grid RFI: Addressing Policy and Logistical Challenges Steffes Corporation Smart Grid RFI: Addressing Policy and Logistical Challenges Steffes Corporation...
Freedom Energy Logistics | Open Energy Information
Logistics Logistics Jump to: navigation, search Name Freedom Energy Logistics Place Manchester, New Hampshire Product Manchester-based energy management company. Coordinates 53.479605°, -2.248818° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":53.479605,"lon":-2.248818,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
ASSET LOGISTIC AG | Open Energy Information
ASSET LOGISTIC AG ASSET LOGISTIC AG Jump to: navigation, search Name ASSET@LOGISTIC AG Place Hamburg, Hamburg, Germany Zip 20148 Sector Wind energy Product Developer of 3 wind farms in Almeria, Spain Coordinates 53.553345°, 9.992455° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":53.553345,"lon":9.992455,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
Research on Fuzzy Evaluation in Coal Enterprises Logistic System
According to the logistic system current situation of coal enterprises, a practical evaluation index system for its logistic system was established, constructing fuzzy comprehensive evaluation model, with this model, exiting logistic system of one coal ... Keywords: coal enterprises, logistic system, fuzzy evaluation
Xu Jun
Alternative Fuels Data Center: Reynolds Logistics Reduces Fuel Costs With
Alternative Fuels and Advanced Vehicles Data Center (EERE)
Reynolds Logistics Reynolds Logistics Reduces Fuel Costs With EVs to someone by E-mail Share Alternative Fuels Data Center: Reynolds Logistics Reduces Fuel Costs With EVs on Facebook Tweet about Alternative Fuels Data Center: Reynolds Logistics Reduces Fuel Costs With EVs on Twitter Bookmark Alternative Fuels Data Center: Reynolds Logistics Reduces Fuel Costs With EVs on Google Bookmark Alternative Fuels Data Center: Reynolds Logistics Reduces Fuel Costs With EVs on Delicious Rank Alternative Fuels Data Center: Reynolds Logistics Reduces Fuel Costs With EVs on Digg Find More places to share Alternative Fuels Data Center: Reynolds Logistics Reduces Fuel Costs With EVs on AddThis.com... July 23, 2011 Reynolds Logistics Reduces Fuel Costs With EVs F ind out how Reynolds Logistics uses electric vehicles to offset petroleum
16th Annual Freight and Logistics Symposium
performance and results, prices and demand for oil, our ability to make acquisitions on economically/7/2012 2 #12;Shale Development "Boom" Shale Development Wind Energy Ethanol 2003 · Logistics and related infrastructure of greater importance in shale development, and therefore a major
Minnesota, University of
Bay Biodiesel LLC | Open Energy Information
LLC Jump to: navigation, search Name Bay Biodiesel LLC Place Martinez, California Zip 94553 Product Biodiesel producers in Martinez, California. References Bay Biodiesel LLC1...
Comparative Usability Study of Two Space Logistics Analysis Tools
Future space exploration missions and campaigns will require sophisticated tools to help plan and analyze logistics. To encourage their use, space logistics tools must be usable: a design concept encompassing terms such ...
Lee, Chairwoo
Biological Clustering Method for Logistic Place Decision Making
One of the main tasks in supply chain network is to identify the determination of logistic location. The main factors could influence the selections are costs and profits for the company itself. Most appropriate place is urgently essentials in today ... Keywords: Biologically inspired computing, DNA computing, Determination, Logistic location, Logistic problem, cluster-based
Rohani Binti Abu Bakar; Junzo Watada
GenCLOn: An ontology for city logistics
City logistics is a discipline specialized to cope with the sustainability problems encountered in urban freight transport. A key characteristic of it is the heterogeneity of the stakeholders involved. Besides the traditional logistics actors such as ... Keywords: Agent-based modeling, City logistics, Ontology
Nilesh Anand; Mengchang Yang; J. H. R. Van Duin; Lori Tavasszy
Vermilion Bay | Open Energy Information
Vermilion Bay Vermilion Bay Jump to: navigation, search Name Vermilion Bay Facility Vermilion Bay Sector Wind energy Facility Type Offshore Wind Facility Status Proposed Owner Coastal Point Energy LLC Developer Coastal Point Energy LLC Location Gulf of Mexico LA Coordinates 29.741°, -92.057° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":29.741,"lon":-92.057,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
Pepco Holdings, Inc. Smart Grid RFI: Addressing Policy and Logistical
Holdings, Inc. Smart Grid RFI: Addressing Policy and Holdings, Inc. Smart Grid RFI: Addressing Policy and Logistical Challenges Pepco Holdings, Inc. Smart Grid RFI: Addressing Policy and Logistical Challenges Pepco Holdings, Inc. Smart Grid RFI: Addressing Policy and Logistical Challenges. Pepco Holdings, Inc. (PHI) is pleased to respond to the US Department of Energy (DOE) request for information regarding addressing policy and logistical challenges to smart grid implementation. This follows on the heels of PHI's responses to two other DOE RFls on data access and communications requirements. Pepco Holdings, Inc. Smart Grid RFI: Addressing Policy and Logistical Challenges More Documents & Publications DC OPC Comments. September 17, 2010 Addressing Policy and Logistical Challenges to smart grid Implementation:
Outsourcing Logistics in the Oil and Gas Industry
The supply chain challenges that the Oil and Gas industry faces in material logistics have enlarged in the last few decades owing to an increased hydro-carbon demand. Many reasons justify the challenges, such as exploration activities which have moved to remote locations, not only increasing distances from supply houses and refineries but also escalating logistics costs. Mammoth costs of material unavailability drive the inefficiencies largely. The objectives of the study is to discover the logistics needs of oil and gas companies, the motivation, benefits and the requirements of outsourcing logistics. The study aims to identify the material supply chain inefficiencies in the industry and proposes solutions to solve them. In this study, Oil and Gas industry�s outsourcing practices in logistics are analyzed along with the trends of the third party logistics companies serving the industry. The participants of this study are from different companies in the Oil and Gas industry dealing with supply chain operations.
Herrera, Cristina 1988-
A Review of Green Logistics Schemes Used in Cities Around the World
Green Logistics (The Paradoxes of), Handbook of Logistics and Supply Chain Management, edited by Brewer, A. , Button,
Geroliminis, Nikolaos; Daganzo, Carlos F.
St.Margarets Bay Halifax Harbour
St.Margarets Bay Queensland Beach Bayers Lake Bedford Basin Halifax Harbour Crystal Crescent Beach Mushaboom Harbour Ship Harbour Taylor Head ATLANTIC OCEAN Dollar Lake Musquodoboit River Lake Charlotte Shad Bay Whites Lake Terence Bay Prospect Pennant Pt Herring Cove Purcells Cove 349 306 Fall River
Beaumont, Christopher
Logistics | U.S. DOE Office of Science (SC)
Office of Science (SC) Website
Logistics Logistics Basic Energy Sciences Advisory Committee (BESAC) BESAC Home Meetings Meeting Presentations History Logistics Members Charges/Reports Charter .pdf file (41KB) BES Committees of Visitors BES Home Meetings Logistics Print Text Size: A A A RSS Feeds FeedbackShare Page Transportation Airport Directions and Services Ronald Reagan (National) Airport External link Baltimore-Washington International Airport (BWI) External link Dulles International Airport (Dulles) External link Ground Transportation Ronald Reagan (National) Airport External link Baltimore-Washington International Airport (BWI) External link Dulles International Airport (Dulles) External link Hotel North Bethesda Marriott and Conference Center External link 5701 Marinelli Road North Bethesda, MD 20852 Phone: 1-301-822-9200
Pensacola Smart Grid RFI Addressing Policy and Logistical Challenges...
Logistical Challenges. Providing comment on: Consumer facing programs such as feedback, demand response, energy efficiency, and automation strategies. Pensacola Smart Grid RFI...
Logistics and Supply Chain Management - Center for Transportation...
analysis. Simulation study of logistics support requirements for nuclear non-proliferation support. Evaluation of practical capabilities of electronic (RF) tags in...
Okaloosa Gas District Smart Grid RFI: Addressing Policy and Logistical...
Okaloosa Gas District Smart Grid RFI: Addressing Policy and Logistical Challenges to Smart Grid Implementation Okaloosa Gas District Smart Grid RFI: Addressing Policy and...
Smart Grid RFI: Addressing Policy and Logistical Challenges....
Challenges. Comments of the Alliance to Save Energy. Smart Grid RFI: Addressing Policy and Logistical Challenges. Comments of the Alliance to Save Energy. The Alliance to Save...
Smart Grid RFI: Addressing Policy and Logistical Challenges,...
Challenges, Comments from the Edison Electric Institute Smart Grid RFI: Addressing Policy and Logistical Challenges, Comments from the Edison Electric Institute The Edison Electric...
Sustainable Logistics Website | Open Energy Information
Sustainable Logistics Website Sustainable Logistics Website Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Sustainable Logistics Website Focus Area: Clean Transportation Topics: Best Practices Website: www.duurzamelogistiek.nl/ Equivalent URI: cleanenergysolutions.org/content/sustainable-logistics-website Language: "English,Dutch" is not in the list of possible values (Abkhazian, Achinese, Acoli, Adangme, Adyghe; Adygei, Afar, Afrihili, Afrikaans, Afro-Asiatic languages, Ainu, Akan, Akkadian, Albanian, Aleut, Algonquian languages, Altaic languages, Amharic, Angika, Apache languages, Arabic, Aragonese, Arapaho, Arawak, Armenian, Aromanian; Arumanian; Macedo-Romanian, Artificial languages, Assamese, Asturian; Bable; Leonese; Asturleonese, Athapascan languages, Australian languages, Austronesian languages, Avaric, Avestan, Awadhi, Aymara, Azerbaijani, Balinese, Baltic languages, Baluchi, Bambara, Bamileke languages, Banda languages, Bantu (Other), Basa, Bashkir, Basque, Batak languages, Beja; 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Pilipino, Finnish, Finno-Ugrian languages, Fon, French, Friulian, Fulah, Ga, Gaelic; Scottish Gaelic, Galibi Carib, Galician, Ganda, Gayo, Gbaya, Geez, Georgian, German, Germanic languages, Gilbertese, Gondi, Gorontalo, Gothic, Grebo, Greek, Modern, Guarani, Gujarati, Gwich'in, Haida, Haitian; Haitian Creole, Hausa, Hawaiian, Hebrew, Herero, Hiligaynon, Himachali languages; Western Pahari languages, Hindi, Hiri Motu, Hittite, Hmong; Mong, Hungarian, Hupa, Iban, Icelandic, Ido, Igbo, Ijo languages, Iloko, Inari Sami, Indic languages, Indo-European languages, Indonesian, Ingush, Interlingue; Occidental, Inuktitut, Inupiaq, Iranian languages, Irish, Iroquoian languages, Italian, Japanese, Javanese, Judeo-Arabic, Judeo-Persian, Kabardian, Kabyle, Kachin; Jingpho, Kalaallisut; Greenlandic, Kalmyk; Oirat, Kamba, Kannada, Kanuri, Kara-Kalpak, Karachay-Balkar, Karelian, Karen languages, Kashmiri, Kashubian, Kawi, Kazakh, Khasi, Khoisan languages, Khotanese; Sakan, Kikuyu; Gikuyu, Kimbundu, Kinyarwanda, Kirghiz; Kyrgyz, Klingon; tlhIngan-Hol, Komi, Kongo, Konkani, Korean, Kosraean, Kpelle, Kru languages, Kuanyama; Kwanyama, Kumyk, Kurdish, Kurukh, Kutenai, Ladino, Lahnda, Lamba, Land Dayak languages, Lao, Latin, Latvian, Lezghian, Limburgan; Limburger; Limburgish, Lingala, Lithuanian, Lojban, Lower Sorbian, Lozi, Luba-Katanga, Luba-Lulua, Luiseno, Lule Sami, Lunda, Luo (Kenya and Tanzania), Lushai, Luxembourgish; Letzeburgesch, Macedonian, Madurese, Magahi, Maithili, Makasar, Malagasy, Malay, Malayalam, Maltese, Manchu, Mandar, Mandingo, Manipuri, Manobo languages, Manx, Maori, Mapudungun; Mapuche, Marathi, Mari, Marshallese, Marwari, Masai, Mayan languages, Mende, Mi'kmaq; Micmac, Minangkabau, Mirandese, Mohawk, Moksha, Mon-Khmer languages, Mongo, Mongolian, Mossi, Multiple languages, Munda languages, N'Ko, Nahuatl languages, Nauru, Navajo; Navaho, Ndebele, North; North Ndebele, Ndebele, South; South Ndebele, Ndonga, Neapolitan, Nepal Bhasa; Newari, Nepali, Nias, Niger-Kordofanian languages, Nilo-Saharan languages, Niuean, North American Indian languages, Northern Frisian, Northern Sami, Norwegian, Nubian languages, Nyamwezi, Nyankole, Nyoro, Nzima, Occitan (post 1500); Provençal, Ojibwa, Oriya, Oromo, Osage, Ossetian; Ossetic, Otomian languages, Pahlavi, Palauan, Pali, Pampanga; Kapampangan, Pangasinan, Panjabi; Punjabi, Papiamento, Papuan languages, Pedi; Sepedi; Northern Sotho, Persian, Philippine languages, Phoenician, Pohnpeian, Polish, Portuguese, Prakrit languages, Pushto; Pashto, Quechua, Rajasthani, Rapanui, Rarotongan; Cook Islands Maori, Romance languages, Romanian; Moldavian; Moldovan, Romansh, Romany, Rundi, Russian, Salishan languages, Samaritan Aramaic, Sami languages, Samoan, Sandawe, Sango, Sanskrit, Santali, Sardinian, Sasak, Scots, Selkup, Semitic languages, Serbian, Serer, Shan, Shona, Sichuan Yi; Nuosu, Sicilian, Sidamo, Sign Languages, Siksika, Sindhi, Sinhala; Sinhalese, Sino-Tibetan languages, Siouan languages, Skolt Sami, Slave (Athapascan), Slavic languages, Slovak, Slovenian, Sogdian, Somali, Songhai languages, Soninke, Sorbian languages, Sotho, Southern, South American Indian (Other), Southern Altai, Southern Sami, Spanish; Castilian, Sranan Tongo, Sukuma, Sumerian, Sundanese, Susu, Swahili, Swati, Swedish, Swiss German; Alemannic; Alsatian, Syriac, Tagalog, Tahitian, Tai languages, Tajik, Tamashek, Tamil, Tatar, Telugu, Tereno, Tetum, Thai, Tibetan, Tigre, Tigrinya, Timne, Tiv, Tlingit, Tok Pisin, Tokelau, Tonga (Nyasa), Tonga (Tonga Islands), Tsimshian, Tsonga, Tswana, Tumbuka, Tupi languages, Turkish, Turkmen, Tuvalu, Tuvinian, Twi, Udmurt, Ugaritic, Uighur; Uyghur, Ukrainian, Umbundu, Uncoded languages, Undetermined, Upper Sorbian, Urdu, Uzbek, Vai, Venda, Vietnamese, Volapük, Votic, Wakashan languages, Walamo, Walloon, Waray, Washo, Welsh, Western Frisian, Wolof, Xhosa, Yakut, Yao, Yapese, Yiddish, Yoruba, Yupik languages, Zande languages, Zapotec, Zaza; Dimili; Dimli; Kirdki; Kirmanjki; Zazaki, Zenaga, Zhuang; Chuang, Zulu, Zuni) for this property.
Source Recertification, Refurbishment, and Transfer Logistics
The 2012 Gap Analysis of Department of Energy Radiological Sealed Sources, Standards, and Materials for Safeguards Technology Development [1] report, and the subsequent Reconciliation of Source Needs and Surpluses across the U.S. Department of Energy National Laboratory Complex [2] report, resulted in the identification of 33 requests for nuclear or radiological sealed sources for which there was potentially available, suitable material from within the U.S. Department of Energy (DOE) complex to fill the source need. Available, suitable material was defined by DOE laboratories as material slated for excess, or that required recertification or refurbishment before being used for safeguards technology development. This report begins by outlining the logistical considerations required for the shipment of nuclear and radiological materials between DOE laboratories. Then, because of the limited need for transfer of matching sources, the report also offers considerations for an alternative approach � the shipment of safeguards equipment between DOE laboratories or technology testing centers. Finally, this report addresses repackaging needs for the two source requests for which there was available, suitable material within the DOE complex.
Gastelum, Zoe N.; Duckworth, Leesa L.; Greenfield, Bryce A.; Doll, Stephanie R.
Daya Bay Reactor Neutrino Project at NERSC
Daya Bay Reactor Neutrino Daya Bay Reactor Neutrino Experiment Daya Bay Reactor Neutrino Experiment Daya Bay is an international neutrino-oscillation experiment designed to determine the last unknown neutrino mixing angle θ13 using anti-neutrinos produced by the Daya Bay and Ling Ao Nuclear Power Plant reactors. The experiment is being built by blasting three kilometers of tunnel through the granite rock under the mountains where the power plants are located. Data collection is now scheduled to start in in 2011. On the PDSF cluster at NERSC, Daya Bay performs simulations of the detectors, reactors, and surrounding mountains to help design and anticipate detector properties and behavior. Once real data are available, Daya Bay will be using NERSC to analyze data and NERSC HPSS will be the central U.S. repository for all raw
Fuzzy Analytical Hierarchy Process Applied to Port Logistics Efficiency Evaluation
This paper aims to construct analysis model of port logistics arrangement using Delphi and AHP, furthermore, establishment of fuzzy theory and analytical hierarchy process model and factor set. And calculate every index weight with the weighting method�G1 ... Keywords: Mathematical model, Fuzzy Analytical Hierarchy Process, Port Logistics, Efficiency Evaluation
Xuelian Liu
Interfirm strategic information flows in logistics supply chain relationships
This paper focuses on strategic information flows between buyers and suppliers within logistics supply chain relationships and on subsequent relationship-specific performance outcomes. Our analysis of dyadic data collected from 91 buyer-supplier logistics ... Keywords: IT customization, dependence, dyads, interfirm relationships, organization size, relational view, relationship longevity, strategic information flows, trust
Richard Klein; Arun Rai
Smart Grid RFI: Addressing Policy and Logistical Challenges. Comments of
Smart Grid RFI: Addressing Policy and Logistical Challenges. Smart Grid RFI: Addressing Policy and Logistical Challenges. Comments of the Alliance to Save Energy. Smart Grid RFI: Addressing Policy and Logistical Challenges. Comments of the Alliance to Save Energy. The Alliance to Save Energy is a coalition of prominent business, government, environmental, and consumer leaders who promote the efficient use of energy worldwide to benefit consumers, the environment, economy, and national security. The Alliance to Save Energy (the Alliance) thanks the Department of Energy for the opportunity to comment on broad issues of policy and logistical challenges faced in smart grid implementation. Smart Grid RFI: Addressing Policy and Logistical Challenges. Comments of the Alliance to Save Energy. More Documents & Publications
Southern Company: DOE Smart Grid RFI Addressing Policy and Logistical
Southern Company: DOE Smart Grid RFI Addressing Policy and Southern Company: DOE Smart Grid RFI Addressing Policy and Logistical Challenges Southern Company: DOE Smart Grid RFI Addressing Policy and Logistical Challenges Southern Company: DOE Smart Grid RFI Addressing Policy and Logistical Challenges. Southern recognizes that many policy and logistical concerns must be addressed for the promises of smart grid technologies and applications to be fully realized in ways that are beneficial, secure, and cost-effective lor utility customers. Southern Company: DOE Smart Grid RFI Addressing Policy and Logistical Challenges More Documents & Publications Re: DOE Request for Information - Implementing the National Broadband Plan by Studying the Communications Requirements of Electric Utilities to Inform Federal Smart Grid Policy
FROM PLANT AND LOGISTICS CONTROL TO MULTI-ENTERPRISE COLLABORATION: Milestone report of the Manufacturing & Logistics Systems Coordinating Committee
, product life cycles shrink, and profit margins decrease. In addition, the capital costs of manufacturing of the Manufacturing & Logistics Systems Coordinating Committee S.Y. Nofa* , G. Morelb , L. Monostoric , A. Molinad , F-765-494-1299 Abstract: Current and emerging manufacturing and logistics systems are posing new challenges
Paris-Sud XI, Université de
Berkeley Lab / Richmond Bay Campus
Second Campus Second Campus Long Range Development Plan Environmental Docs Department of Energy NEPA Environmental Documents Frequently Asked Questions (FAQ) Timeline Community Meetings Selection Process Contacts The Science The University of California, Berkeley and the University of California at the Lawrence Berkeley National Laboratory propose to establish a new research campus - the Richmond Bay Campus - in Richmond, California. The purpose of the proposed campus is to build upon the University of California's record of accomplishment in providing long-term societal benefits through discovery and the advancement of knowledge. UC Berkeley and Lawrence Berkeley National Laboratory's goals for the Richmond Bay Campus are: Advance LBNL and UC Berkeley's tradition of world class science by
Addressing Policy and Logistical Challenges to Smart Grid Implementation:
Smart Grid Smart Grid Implementation: Comments by the Office of the Ohio Consumers' Counsel Addressing Policy and Logistical Challenges to Smart Grid Implementation: Comments by the Office of the Ohio Consumers' Counsel The Office of the Ohio Consumers' Counsel ("OCC") hereby submits the following comments in response to the United States Department of Energy ("DOE") Request for Information ("RFI") entitled "Addressing Policy and Logistical Challenges to Smart Grid Implementation" See 75 Fed. Reg. 57006 (September 17, 201 0). The RFI requests comments and information from interested parties to assist DOE in understanding "policy and logistical challenges that confront smart grid implementation, as well as recommendations on how to best overcome those challenges."
Smart Grid RFI: Addressing Policy and Logistical Challenges, Comments from
RFI: Addressing Policy and Logistical Challenges, RFI: Addressing Policy and Logistical Challenges, Comments from the Edison Electric Institute Smart Grid RFI: Addressing Policy and Logistical Challenges, Comments from the Edison Electric Institute The Edison Electric Institute ("EEI"), on behalf of its member companies, hereby submits the following comments in response to the request by the Department of Energy ("DOE" or "Department") for information on a wide range of issues dealing with Smart Grid technology, applications, consumer interaction, policy initiatives and economic impacts, including the definition of Smart Grid; interactions with and implications for residential, commercial and industrial customers; Smart Grid costs and benefits; collaboration between utilities, device manufacturers and energy
Direct-field acoustic testing of a flight system : logistics, challenges, and results.
DOE Green Energy (OSTI)
Before a spacecraft can be considered for launch, it must first survive environmental testing that simulates the launch environment. Typically, these simulations include vibration testing performed using an electro-dynamic shaker. For some spacecraft however, acoustic excitation may provide a more severe loading environment than base shaker excitation. Because this was the case for a Sandia Flight System, it was necessary to perform an acoustic test prior to launch in order to verify survival due to an acoustic environment. Typically, acoustic tests are performed in acoustic chambers, but because of scheduling, transportation, and cleanliness concerns, this was not possible. Instead, the test was performed as a direct field acoustic test (DFAT). This type of test consists of surrounding a test article with a wall of speakers and controlling the acoustic input using control microphones placed around the test item, with a closed-loop control system. Obtaining the desired acoustic input environment - proto-flight random noise input with an overall sound pressure level (OASPL) of 146.7 dB-with this technique presented a challenge due to several factors. An acoustic profile with this high OASPL had not knowingly been obtained using the DFAT technique prior to this test. In addition, the test was performed in a high-bay, where floor space and existing equipment constrained the speaker circle diameter. And finally, the Flight System had to be tested without contamination of the unit, which required a contamination bag enclosure of the test unit. This paper describes in detail the logistics, challenges, and results encountered while performing a high-OASPL, direct-field acoustic test on a contamination-sensitive Flight System in a high-bay environment.
Stasiunas, Eric Carl; Gurule, David Joseph; Babuska, Vit; Skousen, Troy J.
Using Bayes' Theorem for Free Energy Calculations.
??Statistical mechanics is fundamentally based on calculating the probabilities of molecular-scaleevents. Although Bayes� theorem has generally been recognized as providing key guiding principals for setup� (more)
Rogers, David M.
U.S. Marine Corp Logistics Base | Open Energy Information
Marine Corp Logistics Base Marine Corp Logistics Base Jump to: navigation, search Name U.S. Marine Corp Logistics Base Facility U.S. Marine Corp Logistics Base Sector Wind energy Facility Type Community Wind Facility Status In Service Location Barstow CA Coordinates 34.85832705°, -116.9559002° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":34.85832705,"lon":-116.9559002,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
NAP Coalition Response to DOE RFI: Addressing Policy and Logistical
NAP Coalition Response to DOE RFI: Addressing Policy and Logistical NAP Coalition Response to DOE RFI: Addressing Policy and Logistical Challenges to Smart Grid Implementation NAP Coalition Response to DOE RFI: Addressing Policy and Logistical Challenges to Smart Grid Implementation The NAP Coalition is a "Coalition of Coalitions" that has been formed for the purpose of implementing the National Action Plan released by FERC in cooperation with DOE in June of 2010. Organizations working together on NAP implementation in include EEI, APPA, NRECA, ASE, ACEEE, NASUCA, NARUC, NASEO, DRSG, DRCC and EDF. The NAP Coalition submits a response in this RFI only to question #14 in Section II of the RFI. NAP Coalition Response to DOE RFI: Addressing Policy and Logistical Challenges to Smart Grid Implementation More Documents & Publications
MIT- Center for Transportation and Logistics | Open Energy Information
MIT- Center for Transportation and Logistics MIT- Center for Transportation and Logistics Jump to: navigation, search Logo: MIT- Center for Transportation and Logistics Name MIT- Center for Transportation and Logistics Address 77 Massachusetts Avenue Place Cambridge, Massachusetts Zip 02139 Region Greater Boston Area Coordinates 42.359089°, -71.093412° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.359089,"lon":-71.093412,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
Okaloosa Gas District Smart Grid RFI: Addressing Policy and Logistical
Okaloosa Gas District Smart Grid RFI: Addressing Policy and Okaloosa Gas District Smart Grid RFI: Addressing Policy and Logistical Challenges to Smart Grid Implementation Okaloosa Gas District Smart Grid RFI: Addressing Policy and Logistical Challenges to Smart Grid Implementation Okaloosa Gas District (The District) an Independent Special District of the State of Florida is appreciative of the opportunity to submit for your consideration the following comments in response to the U.S. Department of Energy, Office of Electricity Delivery and Energy Reliability's Request for Information Addressing Policy and Logistical Challenges to Smart Grid Implementation, 75 Fed. Reg. 57,006 (Sep. 17, 2010). Okaloosa Gas District Smart Grid RFI: Addressing Policy and Logistical Challenges to Smart Grid Implementation More Documents & Publications
The use of a logistic map for key generation
A key generation scheme is proposed and its performance analyzed. The method, the logistic map scheme (LMS), is applicable for use on wireless networks because it does not require devices to engage in computationally ...
Ando, Megumi, M. Eng. Massachusetts Institute of Technology
Integrated modeling and simulation of lunar exploration campaign logistics
As NASA prepares to establish a manned outpost on the lunar surface, it is essential to consider the logistics of both the construction and operation of this outpost. This thesis presents an interplanetary supply chain ...
Shull, Sarah A. (Sarah Anderson)
Lessons for China from a comparison of logistics in the U.S. and China
Logistics efficiency is low in China. In 2008, total logistics costs accounted for 18.1% of gross domestic product (GDP) in China, which was almost twice that of the United States. Increasing logistics efficiency can save ...
Xiong, Ming, S.M. Massachusetts Institute of Technology
Changes related to "Chesapeake Bay Test Site" | Open Energy Informatio...
Share this page on Facebook icon Twitter icon Changes related to "Chesapeake Bay Test Site" Chesapeake Bay Test Site Jump to: navigation, search This is a list of...
Tampa Bay Area Ethanol Consortium | Open Energy Information
Tampa Bay Area Ethanol Consortium Jump to: navigation, search Name Tampa Bay Area Ethanol Consortium Place Tampa, Florida Sector Biomass Product Consortium researching ethanol from...
Status of the Daya Bay Reactor Neutrino Oscillation Experiment
Status of the Daya Bay Reactor Neutrino OscillationCheng-Ju Lin The Daya Bay reactor neutrino experiment [1] isneutrinos from the nuclear reactors at different baselines.
Lin, Cheng-Ju Stephen
file://P:\\Smart Grid\\Smart Grid RFI Policy and Logistical Comme
24 Policy and Logistical Challenges to Smart Grid Implementation Comment On: DOE-HQ-2010-0024-0001 Policy and Logistical Challenges to Smart Grid Implementation Document:...
Logistic Management Forms (4000-4999) | Department of Energy
Logistic Management Forms (4000-4999) Logistic Management Forms (4000-4999) Logistic Management Forms (4000-4999) DOE F 4200.33 (fillable pdf) Procurement Request-Authorization DOE F 4200.34 (fillable pdf) Procurement Request-Authorization Funding Data (Continuation Sheet) DOE F 4200.40 (pdf) Individual Procurement Action Report (IPAR) DOE F 4200.40A (pdf) Individual Procurement Action Report (IPAR) DOE F 4200.41 (pdf) Individual Procurement Action Report Supplement for Procurement and Financial Assistance DOE F 4220.2 (fillable pdf) Small Business Review DOE F 4220.10 (fillable pdf) Congressional and Intergovernmental Affairs (CI) Notification DOE F 4220.23 (pdf) Weighted Guidelines Profit/Fee Objective DOE F 4250.2 (fillable pdf) Requisition for Supplies, Equipment, or Service DOE F 4250.3
Challenges. Challenges. Comments of the Alliance to Save Energy. Smart Grid RFI: Addressing Policy and Logistical Challenges. Comments of the Alliance to Save Energy. The Alliance to Save Energy is a coalition of prominent business, government, environmental, and consumer leaders who promote the efficient use of energy worldwide to benefit consumers, the environment, economy, and national security. The Alliance to Save Energy (the Alliance) thanks the Department of Energy for the opportunity to comment on broad issues of policy and logistical challenges faced in smart grid implementation. Smart Grid RFI: Addressing Policy and Logistical Challenges. Comments of the Alliance to Save Energy. More Documents & Publications DC OPC Comments. September 17, 2010 Comments of the National Rural Electric Cooperative Association, Request
Category:Green Bay, WI | Open Energy Information
WI WI Jump to: navigation, search Go Back to PV Economics By Location Media in category "Green Bay, WI" The following 16 files are in this category, out of 16 total. SVFullServiceRestaurant Green Bay WI Wisconsin Electric Power Co.png SVFullServiceRestauran... 79 KB SVQuickServiceRestaurant Green Bay WI Wisconsin Electric Power Co.png SVQuickServiceRestaura... 79 KB SVHospital Green Bay WI Wisconsin Electric Power Co.png SVHospital Green Bay W... 79 KB SVLargeHotel Green Bay WI Wisconsin Electric Power Co.png SVLargeHotel Green Bay... 78 KB SVLargeOffice Green Bay WI Wisconsin Electric Power Co.png SVLargeOffice Green Ba... 90 KB SVMediumOffice Green Bay WI Wisconsin Electric Power Co.png SVMediumOffice Green B... 78 KB SVMidriseApartment Green Bay WI Wisconsin Electric Power Co.png
Application of cycle-based simulation to estimate loss of logistics productivity on construction sites
Logistics management is a critical factor that determines the successful delivery of a construction project. The logistics activities have close connection with other logistics/construction activities, often producing hazards on site. Moreover, the policies ... Keywords: cycle-based simulation, hazard prevention, hazardous interaction, logistics productivity loss, safety
Feng Xu; Yuanbin Song; Hao Hu
Simulation as a support tool for training logistic operators
Ports play a very important role in the economy of a nation, as well as other crucial infrastructures like railways, motorways and airports, because, if managed properly, can significantly increase the competitiveness of a particular area. For this reason ... Keywords: CBT (computer based training) logistics, VV&A (validation, verification and accreditation), simulation, virtual reality
Enrico Briano; Claudia Caballini
Planning and control of logistics for offshore wind farms
Construction and utilization of offshore wind farms will increase within the next years. So far the first German offshore wind farm was constructed and put into operation by "Alpha Ventus". Experiences illustrate that bad weather conditions are the main ... Keywords: MILP, installation scheduling, maritime logistics, offshore wind farm, supply chain
Bernd Scholz-Reiter; Michael L�tjen; Jens Heger; Anne Schweizer
Bristol Bay Geothermal Area | Open Energy Information
Bristol Bay Geothermal Area Bristol Bay Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Bristol Bay Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (1) 9 Exploration Activities (0) 10 References Area Overview Geothermal Area Profile Location: Bristol Bay Borough, Alaska Exploration Region: Alaska Geothermal Region GEA Development Phase: none"None" is not in the list of possible values (Phase I - Resource Procurement and Identification, Phase II - Resource Exploration and Confirmation, Phase III - Permitting and Initial Development, Phase IV - Resource Production and Power Plant Construction) for this property.
Tuscola Bay Wind | Open Energy Information
Tuscola Bay Wind Tuscola Bay Wind Jump to: navigation, search Name Tuscola Bay Wind Facility Tuscola Bay Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner NextEra Energy Resources Developer NextEra Energy Resources Energy Purchaser Detroit Edison Location Fairgrove MI Coordinates 43.52596°, -83.653106° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.52596,"lon":-83.653106,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
Chesapeake Bay Test Site | Open Energy Information
Chesapeake Bay Test Site Chesapeake Bay Test Site Jump to: navigation, search Name Chesapeake Bay Test Site Facility Chesapeake Bay Test Site Sector Wind energy Facility Type Offshore Wind Facility Status Proposed Owner Gamesa and Newport News Energy Developer Gamesa and Newport News Energy Location Atlantic Ocean VA Coordinates 37.243°, -76.062° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.243,"lon":-76.062,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
Wakasa Bay: An AMSR Precipitation Validation Campaign
The �Wakasa Bay Experiment� was conducted in order to refine error models for oceanic precipitation from the Advanced Microwave Sounding Radiometer-Earth Observing System (AMSR-E) measurements and to develop algorithms for snowfall. The NASA P-3 ...
Elena S. Lobl; Kazumasa Aonashi; Masataka Murakami; Brian Griffith; Christian Kummerow; Guosheng Liu; Thomas Wilheit
Climate Change and Bay Area Transportation
Climate Change and Bay Area Transportation Speaker(s): Bruce Riordan Date: April 5, 2007 - 12:00pm Location: 90-3122 Seminar HostPoint of Contact: Marcia Beck Bruce Riordan is a...
Deep Currents in the Bay of Campeche
Data from five moorings deployed in the Bay of Campeche during November 2007�July 2008 are used to analyze subinertial motions of waters below 1000-m depth. To the authors� knowledge, this is the first time such a comprehensive observational ...
Nicolas Kolodziejczyk; Jos� Ochoa; Julio Candela; Julio Sheinbaum
Addressing Policy and Logistical Challenges to smart grid Implementation:
smart grid smart grid Implementation: eMeter Response to Department of Energy RFI Addressing Policy and Logistical Challenges to smart grid Implementation: eMeter Response to Department of Energy RFI eMeter is a smart grid software company that provides smart network application platform (SNAP) software to integrate smart meters and smart grid communications networks and devices with utility IT systems. eMeter also provides smart grid application software such as meter data management (MDM) and consumer engagement software. Being vendor-neutral toward all meter, hardware, and legacy utility software systems (e.g. CIS and Billing), eMeter has a unique, unbiased and global perspective on smart grid IT issues. Addressing Policy and Logistical Challenges to smart grid Implementation:
Overview of AREVA Logistics Business Unit Capabilities and Expertise
Outline Outline Presentation Outline Overview of AREVA Logistics Business Unit capabilities and E ti Expertise Overview of Transnuclear Inc Transportation Capabilities in the United States Questions Quick Reminder of Fuel Cycle - p.2 AREVA Logistics Business Unit - p.3 Around 4 000 transports each year Around 4,000 transports each year More than 200 transports of used fuel (France and Europe), of vitrified and compacted waste (Europe and Japan) of vitrified and compacted waste (Europe and Japan) More than 150 MOX fuel transports More than 300 transports of low level waste More than 2,700 front-end transports More than 400 transports of heavy industrial equipment Around 150 transports for research reactors and laboratories - p.4 Around 150 transports for research reactors and laboratories Design, Testing and Licensing:
Addressing Policy and Logistical Challenges to Smart Grid Implementation
Before the Before the Department of Energy Washington, D.C. 20585 In the Matter of Addressing Policy and Logistical Challenges to Smart Grid Implementation Smart Grid RFI: Addressing Policy and Logistical Challenges COMMENTS OF BALTIMORE GAS & ELECTRIC COMPANY I. Introduction BGE is the nation's oldest utility company. It has met the energy needs of Central Maryland for nearly 200 years. Today, it serves more than 1.2 million business and residential electric customers and approximately 650,000 gas customers in an economically diverse, 2,300- square-mile area encompassing Baltimore City and all or part of 10 central Maryland counties. BGE already has many systems that it considers to be "smart." For example:
Smart Grid RFI: Addressing Policy and Logistical Challenges
Electricity Delivery and Energy Reliability Electricity Delivery and Energy Reliability 1000 Independence Avenue, SW Room 8H033 Washington, DC 20585 Submitted electronically via firstname.lastname@example.com Smart Grid Request for Information: Addressing Policy and Logistical Challenges Comments of the Alliance to Save Energy The Alliance to Save Energy (the Alliance) thanks the Department of Energy for the opportunity to comment on broad issues of policy and logistical challenges faced in smart grid implementation. The Alliance to Save Energy is a coalition of prominent business, government, environmental, and consumer leaders who promote the efficient use of energy worldwide to benefit consumers, the environment, economy, and national security. The Alliance is a nonprofit 501 (c) (3) organization.
Hooper Bay Wind Farm | Open Energy Information
Hooper Bay Wind Farm Hooper Bay Wind Farm Jump to: navigation, search Name Hooper Bay Wind Farm Facility Hooper Bay Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Alaska Village Electric Coop (AVEC) Developer Alaska Village Electric Coop (AVEC) Energy Purchaser Alaska Village Electric Coop (AVEC) Location Hooper Bay AK Coordinates 61.53572°, -166.097182° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":61.53572,"lon":-166.097182,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
Cleveland Bay Wind Farm | Open Energy Information
Cleveland Bay Wind Farm Cleveland Bay Wind Farm Jump to: navigation, search Name Cleveland Bay Wind Farm Facility Cleveland Bay Wind Farm Sector Wind energy Facility Type Offshore Wind Facility Status Proposed Developer Lake Erie Energy Development Corporation / Great Lakes Ohio Wind / Great Lakes Energy Wind LLC / Freshwater Wind LLC / Cavallo Great Lakes Ohio Wind LLC Location Cleveland Bay OH Coordinates 41.608°, -81.809° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.608,"lon":-81.809,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
New and Underutilized Technology: Efficient High Bay Fluorescent Lighting |
Efficient High Bay Fluorescent Efficient High Bay Fluorescent Lighting New and Underutilized Technology: Efficient High Bay Fluorescent Lighting October 7, 2013 - 8:54am Addthis The following information outlines key deployment considerations for efficient high bay fluorescent lighting within the Federal sector. Benefits Efficient high bay fluorescent lighting can include either T5 or T8 fluorescent lighting systems for high-bay applications currently using metal halide fixtures. Fluorescent fixtures offer better light distribution, better light maintenance over the life of the lamp, improved color quality, and on-off control (re-strike time) with lower energy consumption. Application Efficient high bay fluorescent lighting is applicable for facilities containing high bay areas. Key Factors for Deployment
Aerial survey of Bay Area continues through Saturday | National...
Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > NNSA Blog > Aerial survey of Bay Area continues through Saturday Aerial survey of Bay Area continues...
Calibrated Short-Range Ensemble Precipitation Forecasts Using Extended Logistic Regression with Interaction Terms
Extended logistic regression has been shown to be a method well suited to calibrating precipitation forecasts from medium-range ensemble prediction systems. The extension of the logistic regression unifies the separate predictive equations for ...
Zied Ben Bouall�gue
Generalized multi-commodity network flows : case studies in space logistics and complex infrastructure systems
In transition to a new era of human space exploration, the question is what the next-generation space logistics paradigm should be. The past studies on space logistics have been mainly focused on a "vehicle" perspective ...
Ishimatsu, Takuto
Efficient approximate leave-one-out cross-validation for kernel logistic regression
Kernel logistic regression (KLR) is the kernel learning method best suited to binary pattern recognition problems where estimates of a-posteriori probability of class membership are required. Such problems occur frequently ... Keywords: Kernel logistic regression, Model selection
Gavin C. Cawley; Nicola L. Talbot
A flexible, modular approach to integrated space exploration campaign logistics modeling, simulation, and analysis
A space logistics modeling framework to support space exploration to remote environments is the target of research within the MIT Space Logistics Project. This thesis presents a revised and expanded framework providing ...
Grogan, Paul Thomas
GridWise Alliance: Smart Grid RFI: Addressing Policy and Logistical...
GridWise Alliance: Smart Grid RFI: Addressing Policy and Logistical Challenges GridWise Alliance: Smart Grid RFI: Addressing Policy and Logistical Challenges The GridWise Alliance...
Glacier Bay Inc | Open Energy Information
Glacier Bay Inc Glacier Bay Inc Jump to: navigation, search Name Glacier Bay Inc Place Oakland, California Zip 94601 Product US-based, advanced thermal control, sound reduction, and DC power management technologies developer. Coordinates 37.805065°, -122.273024° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.805065,"lon":-122.273024,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
381 OCEANOGRAPHIC OBSERVATIONS IN BRISTOL BAY AND THE BERING SEA 1939-41, USCGT Redwing L. o OCEANOGRAPHIC OBSERVATSONS IN BRBSTOL BAY AND THE BERING SEA 1939-41 (USCGT Redwing) by Felix Favorite, John W OBSERVATIONS IN BRISTOL BAY AND THE BERING SEA 1939-41 (USCGT Redwing) by Felix Favorite, John W. Schantz
Structural fatigue assessment and management of large-scale port logistics equipments
With the advances of port enterprises, much intensive research has been gradually involved in the structural fatigue assessment and management of port logistics equipments. However, relevant work on large-scale port logistics equipments is still ... Keywords: S-N curve, crack formation, crack propagation life, fatigue assessment, fracture mechanics, gantry cranes, large-scale port logistics equipment, structural safety assessment
Yuan Liu; Weijian Mi; Huiqiang Zheng
Acquiring logistics process intelligence: Methodology and an application for a Chinese bulk port
The processes of logistics service providers are considered as highly human-centric, flexible and complex. Deviations from the standard operating procedures as described in the designed process models, are not uncommon and may result in significant uncertainties. ... Keywords: Knowledge discovery, Logistics process, Logistics process intelligence, Process mining
Ying Wang, Filip Caron, Jan Vanthienen, Lei Huang, Yi Guo
Topics in ordinal logistic regression and its applications
Sample size calculation methods for ordinal logistic regression are proposed to test statistical hypotheses. The author was motivated to do this work by the need for statistical analysis of the red imported ?re ants data. The proposed methods use the concept of approximation by the moment-generating function. Some correction methods are also suggested. When a prior data set is available, an empirical method is explored. Application of the proposed methodology to the ?re ant mating ?ight data is demonstrated. The proposed sample size and power calculation methods are applied in the hypothesis testing problems. Simulation studies are also conducted to illustrate their performance and to compare them with existing methods.
Kim, Hyun Sun
C*-algebras associated with reversible extensions of logistic maps
The construction of reversible extensions of dynamical systems presented in a previous paper by the author and A.V. Lebedev is enhanced, so that it applies to arbitrary mappings (not necessarily with open range). It is based on calculating the maximal ideal space of C*-algebras that extends endomorphisms to partial automorphisms via partial isometric representations, and involves a new set of 'parameters' (the role of parameters is played by chosen sets or ideals). As model examples, we give a thorough description of reversible extensions of logistic maps and a classification of systems associated with compression of unitaries generating homeomorphisms of the circle. Bibliography: 34 titles.
Kwasniewski, Bartosz K [Institute of Mathematics, University of Bialystok (Poland)
USCG Energy Program Resource Management, Fuel Logistics, and Facility Energy
Energy Program Energy Program Resource Management, Fuel Logistics, and Facility Energy Presented by Daniel Gore USCG Energy Program Manager Office of Resource Management 1 1 2 Presentation Contents * Overview CG Energy Program * Highlights * Interesting Projects for Utilities * Alternatively Financed Projects Discussion 2 3 Overview 3 USCG Energy Program Growth * CG represents 80% of DHS energy consumption * Obligations up 210% from FY 2000 * Energy = 25% of O&M budget 4 4 Energy Program Dynamics Increasing Expenditures Increasing Politics & Mandates Increasing Scrutiny & Reporting Procurement & Credit Card Transformations Accounting System Improvements Organizational Strategic Transformations 5 5 What is CG Energy Management? * Policies impacting $306M annual obligations
SF Bay Cores Uncovering Our Dirty Past
1956 1931 1898 #12;Dating: Radioisotopes (USC Hammond) · 137Cs in atom bomb Post ~1950 Max ~1960 reservoir · Much of SF Bay eroding · Ticking TIME BOMB?!!! Hornberger 1999 #12;· Need baywide inventory reviewed. Do not cite or quote. PCBs represents the sums of individual congeners reported by the RMP
Chichagof 7 111 #12;U. S. Coast Guard Tug Redwing IV #12;BRISTOL BAY OCEANOGRAPHY, AUGUST-SEPTEMBER 1938 logs of the U. S. Coast Gucird Tug Redwing present values of temperature, salinity, density, dynamic£ird Tug Redwing equipped to make hydrographic casts, measure currents, and obtain bottom samples. Grateful
Prudhoe Bay Oil Production Optimization: Using Virtual
total field oil production by optimizing the gas discharge rates and pressures at the separation1 Prudhoe Bay Oil Production Optimization: Using Virtual Intelligence Techniques, Stage One: Neural Model Building Shahab D. Mohaghegh, West Virginia University Lynda A. Hutchins, BP Exploration (Alaska
Mohaghegh, Shahab
Responses of upland herpetofauna to the restoration of Carolina Bays and thinning of forested Bay Margins.
Research on the effects of wetland restoration on reptiles and amphibians is becoming more common, but almost all of these studies have observed the colonization of recently disturbed habitats that were completely dry at the time of restoration. In a similar manner, investigations herpetofaunal responses to forest management have focused on clearcuts, and less intensive stand manipulations are not as well studied. To evaluate community and population responses of reptiles and amphibians to hydrology restoration and canopy removal in the interior of previously degraded Carolina bays, I monitored herpetofauna in the uplands adjacent to six historically degraded Carolina bays at the Savannah River Site (SRS) in South Carolina for four years after restoration. To evaluate the effects of forest thinning on upland herpetofauna, forests were thinned in the margins of three of these bays. I used repeated measures ANOVA to compare species richness and diversity and the abundance of selected species and guilds between these bays and with those at three reference bays that were not historically drained and three control bays that remained degraded. I also used Non-metric Multidimensional Scaling (NMDS) to look for community-level patterns based treatments.
Ledvina, Joseph A.
Sonar imaging of bay bottom sediments and anthropogenic impacts in Galveston Bay, Texas
Knowledge of surface sediment distribution in Galveston Bay is important because it allows us to better understand how the bay works and how human activities impact the bay and its ecosystems. In this project, six areas of bay bottom were surveyed using acoustic techniques to make maps of bay bottom types and to investigate the types and extent of anthropogenic impacts. A total of 31 km2 was surveyed in six areas, one in Bolivar Roads (6.1 km2), one near Redfish Bar (3.1 km2), two in East Bay (12 km2), one southeast of the Clear Lake entrance (5.3 km2), and one in Trinity Bay (4.3 km2). Sidescan sonars (100 kHz and 600 kHz) were used to image the bay bottom, and a chirp sonar (2-12 kHz) was used to image subsurface sediment layers and bottom topography. In the side-scan records, objects as small as a few meters in extent were visible, whereas the chirp sonar records show a vertical resolution of a few tens of centimeters. The sidescan images display strong backscatter in some areas due to coarse sediments in addition to weak backscatter in areas of fine sediment. The bay bottom was classified using three levels of sonar backscatter ranging from high to low. Areas of differing sonar backscatter intensity were sampled with cores and grab-samples. High backscatter corresponded to coarse shell debris and oyster reefs, medium backscatter corresponded to a sand-silt-shell mixture, and low backscatter corresponded to silty loam. Chirp sonar records were classified as one of nine different bottom reflection types based on changes in amplitude and stratigraphy. Parallel, layered sediments are seen filling the bay valley and resting atop a sharp contact at which the acoustic signal fades out. Along the flanks of the valley fill the acoustic response revealed an absent or weakly laminated stratigraphy, whereas areas of high oyster productivity produced mounds, strong surface returns, and strong, shallow subsurface reflectors surrounding current oyster reefs. Anthropogenic features imaged with the sonar included sediment disruptions, such as the ship channels, dredge holes, gouges, and trawl marks, as well as debris, such as submerged boats, pipes, and unidentified objects.
Maddox, Donald Shea
Bay Front Biomass Facility | Open Energy Information
Front Biomass Facility Front Biomass Facility Jump to: navigation, search Name Bay Front Biomass Facility Facility Bay Front Sector Biomass Location Ashland County, Wisconsin Coordinates 46.9794969°, -90.4824892° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":46.9794969,"lon":-90.4824892,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
Logistics tool selection with two-phase fuzzy multi criteria decision making: A case study for personal digital assistant selection
Efficient logistics and supply chain management are enabled through the use of efficient information technologies (IT). The mobile logistics tools represent the IT interface in the supply chain. This paper aims to aid decision makers to identify the ... Keywords: Fuzzy AHP, Fuzzy TOPSIS, Fuzzy axiomatic design, Group decision-making, Logistics industry, Logistics tool selection
G�l�in B�y�k�zkan; Jbid Arsenyan; Da Ruan
BayWa Group | Open Energy Information
BayWa Group BayWa Group Jump to: navigation, search Name BayWa Group Place Munich, Germany Zip 81925 Sector Services, Solar Product Germany-based company with international operations specialised in wholesale and retail and in providing services. The company is also active in the biofuel and solar sectors. Coordinates 48.136415°, 11.577531° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":48.136415,"lon":11.577531,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
New and Underutilized Technology: High Bay LED Lighting | Department of
High Bay LED Lighting High Bay LED Lighting New and Underutilized Technology: High Bay LED Lighting October 7, 2013 - 8:55am Addthis The following information outlines key deployment considerations for high bay LED lighting within the Federal sector. Benefits LED light sources offer several potential benefits compared to metal halide or fluorescent lighting, including reduced energy consumption due to the ability to provide a more precise light distribution; longer operating life and lower maintenance requirements; less heat introduced into the space; and greater controllability for dimming and on/off control. Relevant to the cold storage application, LED performance improves in colder temperatures. Application High bay LED lighting is applicable for facilities containing high bay
Thermal Waters Along The Konocti Bay Fault Zone, Lake County...
Thermal Waters Along The Konocti Bay Fault Zone, Lake County, California- A Re-Evaluation Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Thermal...
Chesapeake Bay, Drilling for Oil or Gas Prohibited (Virginia)
Energy.gov (U.S. Department of Energy (DOE))
Drilling for oil or gas in the waters or within 500 hundred feet from the shoreline of the Chesapeake Bay or any of its tributaries is prohibited.
Linking public health and the health of the Chesapeake Bay
The Chesapeake Bay has a profound impact on the lives of all who reside in the 64,000 square miles of its watershed. From crab cakes to sailboats, drinking water to naval ships, the Bay touches virtually every aspect of life in the region. The Bay has inspired literature, driven the regional economy, and shaped political decision making and development patterns for homes, industry, agriculture, and transportation. As population demands increase and urban boundaries expand into pristine landscapes, the sustainability of the Chesapeake Bay and its resources face unprecedented pressures. Consequently, the public's health also is vulnerable to Bay pollution and other stresses stemming from development activities and widespread growth occurring throughout the Chesapeake Bay watershed. This paper will examine the linkages between the environmental quality of the Bay and the population health status, recommend ways to bridge ecological and human health concerns in the context of the Bay, and finally present a framework for developing a public health report card for the Bay.
Burke, T.A.; Litt, J.S.; Fox, M.A.
Green Bay, Wisconsin: Energy Resources | Open Energy Information
Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon Green Bay, Wisconsin: Energy Resources Jump to: navigation, search Equivalent URI DBpedia...
Modeling nitrogen cycling in forested watersheds of Chesapeake Bay
The Chesapeake Bay Agreement calls for a 40% reduction of controllable phosphorus and nitrogen to the tidal Bay by the year 2000. To accomplish this goal the Chesapeake Bay Program needs accurate estimates of nutrient loadings, including atmospheric deposition, from various land uses. The literature was reviewed on forest nitrogen pools and fluxes, and nitrogen data from research catchments in the Chesapeake Basin were identified. The structure of a nitrogen module for forests is recommended for the Chesapeake Bay Watershed Model along with the possible functional forms for fluxes.
Hunsaker, C.T.; Garten, C.T.; Mulholland, P.J.
California South/West Bay Area Regional Middle School Science...
California SouthWest Bay Area Regional Middle School Science Bowl National Science Bowl (NSB) NSB Home About High School Middle School Middle School Students Middle School...
Clean Cities: East Bay Clean Cities (Oakland) coalition
Battersby Richard Battersby is director of fleet services at the University of California, Davis and has been Coordinator of the East Bay (Oakland) Clean Cities coalition...
Microsoft Word - P-12711 Cobscook Bay Project EA.doc
and vertical turbulence with no indications of significant stratification (Quoddy Bay LNG 2006). Mixing cools the surface waters in the summer, and limits the freezing...
Primary causes of wetland loss at Madison Bay, Terrebonne ...
U.S. Energy Information Administration (EIA)
Get this from a library! Primary causes of wetland loss at Madison Bay, Terrebonne Parish, Louisiana. [Robert A Morton; Ginger Tiling; Nicholas F ...
Big Bay, Michigan: Energy Resources | Open Energy Information
Bureau 2005 Place to 2006 CBSA Retrieved from "http:en.openei.orgwindex.php?titleBigBay,Michigan&oldid227742" Categories: Places Stubs Cities What links here Related...
Weirton Steel Corporation logistics and integrated scheduling. Final report
In order to remain competitive in the changing steel market, US steel producers restructured by taking on foreign and domestic partners, closing facilities and/or trimming work forces, and modernizing their steel making facilities. However, very little was done to develop production management technology to complement these changes. The Logistics and Integrated Scheduling program (LIS) was undertaken to address this issue. LIS is an information management system that delivers better customer service, better quality materials, and a just-in-time delivery system. It involves three major components: (1) material marking and sensing: advanced R&D applied to determining cost effective, feasible solutions to passive inventory; (2) material inventory and tracking: advanced technology applied to managing inventory movement; (3) planning and scheduling: beginning with annual production plans, order management, and operational constraints, the ability to build integrated schedules capable of pull through and push through scheduling for various plant capability levels and location configurations with rapid turnaround capability. LIS provides accurate, automated tracking of material flows throughout the mill, the collection and analysis of production data, and automated schedule optimization.
Guzzetta, M.B. [comp.
NALDA (Naval Aviation Logistics Data Analysis) CAI (computer aided instruction)
Data Systems Engineering Organization (DSEO) personnel developed a prototype computer aided instruction CAI system for the Naval Aviation Logistics Data Analysis (NALDA) system. The objective of this project was to provide a CAI prototype that could be used as an enhancement to existing NALDA training. The CAI prototype project was performed in phases. The task undertaken in Phase I was to analyze the problem and the alternative solutions and to develop a set of recommendations on how best to proceed. The findings from Phase I are documented in Recommended CAI Approach for the NALDA System (Duncan et al., 1987). In Phase II, a structured design and specifications were developed, and a prototype CAI system was created. A report, NALDA CAI Prototype: Phase II Final Report, was written to record the findings and results of Phase II. NALDA CAI: Recommendations for an Advanced Instructional Model, is comprised of related papers encompassing research on computer aided instruction CAI, newly developing training technologies, instructional systems development, and an Advanced Instructional Model. These topics were selected because of their relevancy to the CAI needs of NALDA. These papers provide general background information on various aspects of CAI and give a broad overview of new technologies and their impact on the future design and development of training programs. The paper within have been index separately elsewhere.
Handler, B.H. (Oak Ridge K-25 Site, TN (USA)); France, P.A.; Frey, S.C.; Gaubas, N.F.; Hyland, K.J.; Lindsey, A.M.; Manley, D.O. (Oak Ridge Associated Universities, Inc., TN (USA)); Hunnum, W.H. (North Carolina Univ., Chapel Hill, NC (USA)); Smith, D.L. (Memphis State Univ., TN (USA))
Driving toward excellence in transportation and logistics operations and safety
DoE's EM is the largest cleanup project in the world: 114 sites, 31 states, 2,000,000 acres. EM scope includes remediation, processing and transportation of approximately: 25 tons of plutonium, 108 tons of plutonium residues, 88 million gallons of radioactive liquid waste, 2,500 tons of spent nuclear fuel, 137,000 cubic meters of transuranic waste, 1.3 million cubic meters of low-level waste. This series of slides presents: the Rocky Flats Status, the Fernald Closure Project, the Mound/Miamisburg and Battelle Columbus statuses, the DUF{sub 6} (Depleted Uranium Hexafluoride) Conversion Project Overview, Conversion and Transport Logistics; DoE's EM Measures of Success and performance (transportation incident criteria); the application of technology to Enhance Motor Carrier Performance, Safety, and Emergency Preparedness (technological capabilities for DOE to improve driver performance, shipment safety, and emergency response); the Motor Carrier Tracking and Alert system; DOE Load Securement Field Guide and Checklist developed to ensure all shipments are secured prior to shipment; The transportation Emergency Preparedness Program (TEPP) and outreach support; the EM Transportation Community Awareness and Emergency Response (TransCAER); and the Commodity Flow Survey data of Tennessee, Flagstaff, and Texas/Louisiana.
Ashworth, D. [Office of Transportation, U.S. Dept. of Energy, Washington, DC (United States)
Pages that link to "Chesapeake Bay Test Site" | Open Energy Informatio...
Share this page on Facebook icon Twitter icon Pages that link to "Chesapeake Bay Test Site" Chesapeake Bay Test Site Jump to: navigation, search What links here Page:...
The application of discrete event simulation and system dynamics in the logistics and supply chain context
Discrete event simulation (DES) and system dynamics (SD) are two modelling approaches widely used as decision support tools in logistics and supply chain management (LSCM). A widely held belief exists that SD is mostly used to model problems at a strategic ... Keywords: Comparison of methods, Discrete-event simulation, Logistics and supply chain management, Simulation modelling, System dynamics
Antuela A. Tako; Stewart Robinson
Analyzing alternatives in reverse logistics for end-of-life computers: ANP and balanced scorecard approach
Activities in reverse logistics activities are extensively practiced by computer hardware industries. One of the important problems faced by the top management in the computer hardware industries is the evaluation of various alternatives for end-of-life ... Keywords: Analytic network process, Balanced scorecard, Computer hardware industry, Multi-criteria decision making, Reverse logistics
V. Ravi; Ravi Shankar; M. K. Tiwari
The Ramsey model with logistic population growth and Benthamite felicity function
This paper evaluates the effects of a Benthamite formulation for the utility function into the Ramsey model with logistic population growth, introduced by Brida and Accinelli (2007). Within this framework, we demonstrate the economy to be described by ... Keywords: Benthamite, Ramsey, logistic population
Massimiliano Ferrara; Luca Guerrini
Industry: using dynamic WSNs in smart logistics for fruits and pharmacy
In this paper we describe a smart way to apply dynamic wireless sensor networks (WSN) in logistics. Especially in the temperature controlled supply chain (cold chain), perishable goods like fruits and pharmaceuticals greatly benefit from real-time quality ... Keywords: logistics, middleware, routing, sensor network
Dennis J. A. Bijwaard; Wouter A. P. van Kleunen; Paul J. M. Havinga; Leon Kleiboer; Mark J. J. Bijl
Automated Transportation Management System (ATMS) V2.0 logistics module PBI acceptance criteria
This document defines the acceptance criteria for the Automated Transportation Management System V2.0 Logistics Module Performance Based Incentive (PBI). This acceptance criteria will be the primary basis for the generation of acceptance test procedures. The purpose of this document is to define the minimum criteria that must be fulfilled to guarantee acceptance of the Logistics Module.
Weidert, R.S.
A possibilistic approach to the modeling and resolution of uncertain closed-loop logistics
Closed-loop logistics planning is an important tactic for the achievement of sustainable development. However, the correlation among the demand, recovery, and landfilling makes the estimation of their rates uncertain and difficult. Although the fuzzy ... Keywords: Closed-loop logistics, Fuzzy number, Genetic algorithms, Possibilistic mean, Shortage and surplus
Hsiao-Fan Wang; Hsin-Wei Hsu
Planning maritime logistics concepts for offshore wind farms: a newly developed decision support system
The wind industry is facing new, great challenges due to the planned construction of thousands of offshore wind turbines in the North and Baltic Sea. With increasing distances from the coast and rising sizes of the plants the industry has to face the ... Keywords: assembly, installation, installation vessel, logistics concepts, logistics strategies, maritime supply chain, offshore wind, production, simulation
Kerstin Lange; Andr� Rinne; Hans-Dietrich Haasis
Predicting corporate financial distress based on integration of support vector machine and logistic regression
The support vector machine (SVM) has been applied to the problem of bankruptcy prediction, and proved to be superior to competing methods such as the neural network, the linear multiple discriminant approaches and logistic regression. However, the conventional ... Keywords: Corporate financial distress, Empirical risk, Logistic regression, Prediction, Support vector machine
Zhongsheng Hua; Yu Wang; Xiaoyan Xu; Bin Zhang; Liang Liang
What in the World Are "Feedstock Logistics"? | Department of Energy
What in the World Are "Feedstock Logistics"? What in the World Are "Feedstock Logistics"? What in the World Are "Feedstock Logistics"? December 9, 2011 - 1:11pm Addthis FDC Enterpriseâs Feedstock Logistics award has developed a single pass harvester, which is shown gathering corn stover and feeding it into the baler. Thanks to strategic modifications to the harvester, tightly packed, large square bales emerge from the rear of the baler and are gently lowered to the ground in pairs while the baler continues its job. | Department of Energy Photo. FDC Enterprise's Feedstock Logistics award has developed a single pass harvester, which is shown gathering corn stover and feeding it into the baler. Thanks to strategic modifications to the harvester, tightly packed, large square bales emerge from the rear of the baler and are gently lowered
RedSeal Comments on "Smart Grid RFI: Addressing Policy and Logistical
RedSeal Comments on "Smart Grid RFI: Addressing Policy and RedSeal Comments on "Smart Grid RFI: Addressing Policy and Logistical Challenges. RedSeal Comments on "Smart Grid RFI: Addressing Policy and Logistical Challenges. RedSeal Comments on "Smart Grid RFI: Addressing Policy and Logistical Challenges. RedSeal's core technology is the ability to understand the access control of the network as a whole - not simply the behavior of a single device. RedSeal analyzes the interactions of firewalls, routers and load balancers network wide to determine the traffic allowed between every two points. RedSeal Comments on "Smart Grid RFI: Addressing Policy and Logistical Challenges. More Documents & Publications Southern Company: DOE Smart Grid RFI Addressing Policy and Logistical Challenges Association of Home Appliance Manufacturers Comments on Smart Grid RFI
MFR PAPER 1074 Effects of Prudhoe Bay Crude Oil on
MFR PAPER 1074 Effects of Prudhoe Bay Crude Oil on Molting Tanner Crabs, Chionoecetes bairdi JOHN F bairdi , from Alaska walers were exposed 10 Prudhoe Bay crude oil in sIalic bioassays ill Ih e laboralory. Crabs in bOlh slages were similarly susceplible 10 crude oil; Ihe eSlimaled 48-hour TLIIl (Illedian
6 TWO CHEMICAL SPILL PATTERNS IN TIDALLY DOMINATED SAN DIEGO BAY Peter C. Chu and Kleanthis, Inc., 70 Dean Knauss Drive, Narragansett, RI 02882, USA ABSTRACT A coupled hydrodynamic-chemical spill model is used to investigate the chemical spill in the San Diego Bay. The hydrodynamic model shows
Chu, Peter C.
Intention Recognition via Causal Bayes Networks Plus Plan Generation
In this paper, we describe a novel approach to tackle intention recognition, by combining dynamically configurable and situation-sensitive Causal Bayes Networks plus plan generation techniques. Given some situation, such networks enable recognizing agent ... Keywords: ASCP, Causal Bayes Networks, Intention recognition, Logic Programming, P-log, Plan generation
Lu�s Moniz Pereira; Han The Anh
Application of fuzzy logic for autonomous bay parking of automobiles
In this paper, we investigate the control problem of autonomous bay parking system. We choose a referenced parking lot and define a suitable parking spot based on some measurements at various places. A kinetic model is set up for the convenience of analysis ... Keywords: Fuzzy logic, autonomous vehicle control, bay parking, kinetic model, simulation
Zhao-Jian Wang; Jian-Wei Zhang; Ying-Ling Huang; Hui Zhang; Aryan Saadat Mehr
Chesapeake Bay Preservation Programs (Multiple States) | Department of
Chesapeake Bay Preservation Programs (Multiple States) Chesapeake Bay Preservation Programs (Multiple States) Chesapeake Bay Preservation Programs (Multiple States) < Back Eligibility Agricultural Commercial Construction Developer Fed. Government Fuel Distributor General Public/Consumer Industrial Installer/Contractor Institutional Investor-Owned Utility Local Government Low-Income Residential Multi-Family Residential Municipal/Public Utility Nonprofit Residential Retail Supplier Rural Electric Cooperative Schools State/Provincial Govt Systems Integrator Transportation Tribal Government Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Maryland Program Type Siting and Permitting Provider Chesapeake Bay Program The Chesapeake Bay Program is a unique regional partnership that has led
Bay Clean Cities (Oakland) Coalition Bay Clean Cities (Oakland) Coalition The East Bay Clean Cities (Oakland) coalition works with vehicle fleets, fuel providers, community leaders, and other stakeholders to reduce petroleum use in transportation. East Bay Clean Cities (Oakland) coalition Contact Information Richard Battersby 530-752-9666 firstname.lastname@example.com Chris Ferrara 925-459-8062 email@example.com Coalition Website Clean Cities Coordinators Coord Richard Battersby Coord Coord Chris Ferrara Coord Photo of Richard Battersby Richard Battersby is director of fleet services at the University of California, Davis and has been Coordinator of the East Bay (Oakland) Clean Cities coalition since 2003. Battersby has over 25 years of experience in the fleet industry and has written and participated in numerous local, state, and federal grant-funded
Highlighting High Performance: The Philip Merrill Environmental Center; Chesapeake Bay Foundation, Annapolis, Maryland
Case study on high performance building features of the Chesapeake Bay Foundation's Philip Merrill Environmental Center.
Not Available
Chesapeake Bay Program Water Quality Database | Data.gov
Chesapeake Bay Program Water Quality Database Chesapeake Bay Program Water Quality Database Ocean Data Tools Technical Guide Map Gallery Regional Planning Feedback Ocean You are here Data.gov » Communities » Ocean » Data Chesapeake Bay Program Water Quality Database Dataset Summary Description The Chesapeake Information Management System (CIMS), designed in 1996, is an integrated, accessible information management system for the Chesapeake Bay Region. CIMS is an organized, distributed library of information and software tools designed to increase basin-wide public access to Chesapeake Bay information. The information delivered by CIMS includes technical and public information, educational material, environmental indicators, policy documents, and scientific data. Through the use of relational databases, web-based programming, and web-based GIS a large number of Internet resources have been established. These resources include multiple distributed on-line databases, on-demand graphing and mapping of environmental data, and geographic searching tools for environmental information. Baseline monitoring data, summarized data and environmental indicators that document ecosystem status and trends, confirm linkages between water quality, habitat quality and abundance, and the distribution and integrity of biological populations are also available. One of the major features of the CIMS network is the Chesapeake Bay Program's Data Hub, providing users access to a suite of long- term water quality and living resources databases. Chesapeake Bay mainstem and tidal tributary water quality, benthic macroinvertebrates, toxics, plankton, and fluorescence data can be obtained for a network of over 800 monitoring stations.
Prospects For Precision Measurements with Reactor Antineutrinos at Daya Bay
In 2012 the Daya Bay experiment made an unambiguous observation of reactor antineutrino disappearance over kilometer-long baselines and determined that the neutrino mixing angle $\\theta_{13}$ is non-zero. The measurements of Daya Bay have provided the most precise determination of $\\theta_{13}$ to date. This whitepaper outlines the prospects for precision studies of reactor antineutrinos at Daya Bay in the coming years. This includes precision measurements of sin$^2 2\\theta_{13}$ and $\\Delta m^2_{ee}$ to $reactor flux and spectrum, and non-standard physics searches.
The Daya Bay Collaboration
TEC Rail TG Summary_Green Bay
September 13-14, 2006 September 13-14, 2006 Green Bay, WI RAIL TOPIC GROUP Mr. Jay Jones began the meeting with a welcome and introduction of the topic members, other participants, and support staff. A brief overview was given of the topic group's activities since the last TEC meeting. This meeting focused on the Topic Group's subgroup activities. Key comments and discussions are summarized below. Status Update of the Rail Topic Group Mr. Jones mentioned the planned creation of a new topic group to be called the Routing Topic Group. The Rail Topic Group would still exist as a topic group. However, since the emphasis would be in developing routing criteria and ultimately a national suite of routes over the next year or so, this separate Routing Topic Group would be created to address
Massachusetts Bay Trans Auth | Open Energy Information
Auth Auth Jump to: navigation, search Name Massachusetts Bay Trans Auth Place Massachusetts Utility Id 49848 Utility Location Yes Ownership P NERC Location NPCC NERC NPCC Yes Operates Generating Plant Yes Activity Generation Yes Activity Wholesale Marketing Yes Activity Retail Marketing Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png No rate schedules available. Average Rates Commercial: $0.0896/kWh Transportation: $0.1250/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from
DRSG Comments to DOE Smart Grid RFI: Addressing Policy and Logistical Challenges
Comments to DOE Smart Grid RFI: Addressing Policy and Logistical Challenges Comments to DOE Smart Grid RFI: Addressing Policy and Logistical Challenges DRSG- 1 DOE Smart Grid RFI Titled "Addressing Policy and Logistical Challenges to Smart Grid Implementation" Submitted by the Demand Response and Smart Grid Coalition (DRSG) November 1, 2010 DRSG Comments to DOE Smart Grid RFI: Addressing Policy and Logistical Challenges DRSG- 2 I. Definition and Scope 1. What significant policy challenges are likely to remain unaddressed if we employ Title XIII's definition? In light of the fact that smart grid deployments are moving forward with pace and at scale, DRSG advises the DOE against seeking to redefine the term "smart grid" as a semantic exercise, as such an effort would introduce delay, generate uncertainty, and likely prove
Initial Comments of Honeywell, Inc. on Policy and Logistical Challenges in
Initial Comments of Honeywell, Inc. on Policy and Logistical Initial Comments of Honeywell, Inc. on Policy and Logistical Challenges in Implementing Smart Grid Solutions Initial Comments of Honeywell, Inc. on Policy and Logistical Challenges in Implementing Smart Grid Solutions Honeywell comment on regulatory policy issues that need to be considered, and on implementation challenges and opportunities critical to deploying Smart Grid systems. Initial Comments of Honeywell, Inc. on Policy and Logistical Challenges in Implementing Smart Grid Solutions More Documents & Publications NBP RFI: Communications Requirements- Honeywell Responses To Request for Information (RFI) from the Department of Energy on Implementing the National Broadband Plan by Studying the Communications Requirements of Electric Utilities To Inform Federal Smart
GridWise Alliance: Smart Grid RFI: Addressing Policy and Logistical
GridWise Alliance: Smart Grid RFI: Addressing Policy and Logistical GridWise Alliance: Smart Grid RFI: Addressing Policy and Logistical Challenges GridWise Alliance: Smart Grid RFI: Addressing Policy and Logistical Challenges The GridWise Alliance is a coalition of over 150 companies, organizations, and academic institutions advocating for a smart grid for a more sustainable future. We are consensus-driven and technology neutral and do not advocate for specific platforms or technologies, but, rather, for policies that will move the entire market forward to create jobs, provide clean energy solutions, and increase the reliability, flexibility, and efficiency of our electric grid. GridWise Alliance: Smart Grid RFI: Addressing Policy and Logistical Challenges More Documents & Publications WHAT A SMART GRID MEANS TO OUR NATION'S FUTURE.
Comments of DRSG to DOE Smart Grid RFI: Addressing Policy and Logistical
of DRSG to DOE Smart Grid RFI: Addressing Policy and of DRSG to DOE Smart Grid RFI: Addressing Policy and Logistical Challenges Comments of DRSG to DOE Smart Grid RFI: Addressing Policy and Logistical Challenges In light of the fact that smart grid deployments are moving forward with pace and at scale, DRSG advises the DOE against seeking to redefine the term "smart grid" as a semantic exercise, as such an effort would introduce delay, generate uncertainty, and likely prove counterproductive. DOE Smart Grid RFI: Addressing Policy and Logistical Challenges to Smart Grid Implementation More Documents & Publications Addressing Policy and Logistical Challenges to smart grid Implementation: eMeter Response to Department of Energy RFI Association of Home Appliance Manufacturers Comments on Smart Grid RFI
NBP RFI-Addressing Policy and Logistical Challenges to Smart Grid
NBP RFI-Addressing Policy and Logistical Challenges to Smart Grid NBP RFI-Addressing Policy and Logistical Challenges to Smart Grid Implementation. September 10, 2009 NBP RFI-Addressing Policy and Logistical Challenges to Smart Grid Implementation. September 10, 2009 The Telecommunications Industry Association (TIA) is pleased to provide comments on how to address the numerous challenges facing the development and deployment of smart grid technologies. Smart grid is a more robust application of information and communication technologies (ICT) to transform the generation, transmission, distribution and consumption of electricity to provide greater automation, increase reliability, improve efficiency and reduce energy consumption. NBP RFI-Addressing Policy and Logistical Challenges to Smart Grid Implementation. September 10, 2009
Manufacturing supply chain applications: ai-based optimization for fleet management in maritime logistics
This paper outlines the features of an automated Decision Support System (DSS) developed to optimize the logistics of maritime transportation for a large chemical company. The paper focuses on the design and implementation of an optimization module to ...
Agostino Bruzzone; Alessandra Orsoni; Roberto Mosca; Roberto Revetria
ESD.260J / 1.260J / 15.770J Logistics Systems, Fall 2003
See description under subject 1.260J. This course is a survey of analytic tools, approaches, and techniques which are useful in the design and operation of logistics systems and integrated supply chains. The material is ...
Caplice, Christopher George, 1961-
Impact of modern logistics on industrial location choice and property markets
The debate on the impact of modern logistics on industrial location choice and property markets focuses on (1) whether modern inventory control and supply- chain configuration consolidate manufacturing and distribution ...
Li, Yu, 1976-
Computational intelligence methods: joint use in discrete event simulation model of logistics processes
The objective of the paper is to present the concept of using selected computational intelligence methods in conjunction with discrete event simulation (DES) models of chosen logistics processes. A review of the recent literature in the scope of applications ...
Marek Karkula; Lech Bukowski
What is the value of logistics for a large pharmaceutical firm?
Understanding business needs arising out of both, external and internal environments, is an essential first step in determining the value of logistics in a large pharmaceutical firm. In this research, we have used a variety ...
Tiwari, Prasoon, M. Eng. Massachusetts Institute of Technology
Annual report procurement and logistics management center Sandia National Laboratories fiscal year 2002.
This report summarizes the purchasing and transportation activities of the Procurement and Logistics Management Center for Fiscal Year 2002. Activities for both the New Mexico and California locations are included.
Palmer, David L.
Forest biomass supply logistics for a power plant using the discrete-event simulation approach
This study investigates the logistics of supplying forest biomass to a potential power plant. Due to the complexities in such a supply logistics system, a simulation model based on the framework of Integrated Biomass Supply Analysis and Logistics (IBSAL) is developed in this study to evaluate the cost of delivered forest biomass, the equilibrium moisture content, and carbon emissions from the logistics operations. The model is applied to a proposed case of 300 MW power plant in Quesnel, BC, Canada. The results show that the biomass demand of the power plant would not be met every year. The weighted average cost of delivered biomass to the gate of the power plant is about C$ 90 per dry tonne. Estimates of equilibrium moisture content of delivered biomass and CO2 emissions resulted from the processes are also provided.
Mobini, Mahdi [University of British Columbia, Vancouver; Sowlati, T. [University of British Columbia, Vancouver; Sokhansanj, Shahabaddine [ORNL
Anisotropic mesoscopic traffic simulation approach to support large-scale traffic and logistic modeling and analysis
Large-scale traffic and transportation logistics analysis requires a realistic depiction of network traffic condition in a dynamic manner. In the past decades, vehicular traffic simulation approaches have been increasingly developed and applied to describe ...
Ye Tian; Yi-Chang Chiu
Real lessons for venture capitalists in multimodal logistics systems : where does profitability come from?
In this thesis we review three case studies in multimodal logistics and transportation systems and analyze the reasons that lead to failure or success. We present the business idea and model of each case study and study ...
Veniamis, Nikolas Th
A Note on the Estimation of the Multinomial Logistic Model with Correlated Responses
We show how multinomial logistic models with correlated responses can be estimated within SAS software. To achieve this, random effects and marginal models are introduced and the respective SAS code is given. An example data set on physicians � recommendations and preferences in traumatic brain injury rehabilitation is used for illustration. The main motivation for this work are two recent papers that recommend estimating multinomial logistic models with correlated responses by using a Poisson likelihood which is statistically correct but computationally inefficient.
Oliver Kuss; Dale Mclerran
Pedro Bay Village Council (Utility Company) | Open Energy Information
Pedro Bay Village Council (Utility Company) Pedro Bay Village Council (Utility Company) Jump to: navigation, search Name Pedro Bay Village Council Place Alaska Utility Id 14633 Utility Location Yes Ownership M NERC Location AK Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png General Service Residential School Commercial Average Rates Residential: $0.9080/kWh Commercial: $0.8510/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Pedro_Bay_Village_Council_(Utility_Company)&oldid=411345
City of Larsen Bay, Alaska (Utility Company) | Open Energy Information
Larsen Bay, Alaska (Utility Company) Larsen Bay, Alaska (Utility Company) Jump to: navigation, search Name City of Larsen Bay Place Alaska Utility Id 10716 Utility Location Yes Ownership M NERC Location AK Operates Generating Plant Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial Rate Commercial Industrial Rate Industrial Residential Rate Residential Average Rates Residential: $0.3910/kWh Commercial: $0.3340/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=City_of_Larsen_Bay,_Alaska_(Utility_Company)&oldid=40983
East Bay Municipal Util Dist | Open Energy Information
Bay Municipal Util Dist Bay Municipal Util Dist Jump to: navigation, search Name East Bay Municipal Util Dist Place California Utility Id 5571 Utility Location Yes Ownership M NERC Location WECC NERC WECC Yes Operates Generating Plant Yes Activity Generation Yes Activity Wholesale Marketing Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png No rate schedules available. Average Rates No Rates Available References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=East_Bay_Municipal_Util_Dist&oldid=41061
Aerial survey of Bay Area continues through Saturday | National Nuclear
National Nuclear Security Administration (NNSA)
of Bay Area continues through Saturday | National Nuclear of Bay Area continues through Saturday | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > NNSA Blog > Aerial survey of Bay Area continues through Saturday Aerial survey of Bay Area continues through Saturday Posted By Office of Public Affairs NNSA Blog This week, a NNSA helicopter has been flying at a low-level altitude over
McKay Bay Facility Biomass Facility | Open Energy Information
McKay Bay Facility Biomass Facility McKay Bay Facility Biomass Facility Jump to: navigation, search Name McKay Bay Facility Biomass Facility Facility McKay Bay Facility Sector Biomass Facility Type Municipal Solid Waste Location Hillsborough County, Florida Coordinates 27.9903597°, -82.3017728° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":27.9903597,"lon":-82.3017728,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
JAMAICA BAY TASK FORCE MEETING Tuesday April 6, 2010
Len Houston, U.S. Army Corps of Engineers (USACE) 7:30 Liquefied Natural Gas (LNG) Update Dan Mundy Jr., Jamaica Bay EcoWatchers 7:50 Recent Nitrogen Agreement with NYC Brad Sewell, Natural Resources Defense
Columbia University
Assembly and Installation of the Daya Bay Antineutrino Detectors
The Daya Bay reactor antineutrino experiment is designed to make a precision measurement of the neutrino mixing angle theta13, and recently made the definitive discovery of its nonzero value. It utilizes a set of eight, functionally identical antineutrino detectors to measure the reactor flux and spectrum at baselines of 300 - 2000m from the Daya Bay and Ling Ao Nuclear Power Plants. The Daya Bay antineutrino detectors were built in an above-ground facility and deployed side-by-side at three underground experimental sites near and far from the nuclear reactors. This configuration allows the experiment to make a precision measurement of reactor antineutrino disappearance over km-long baselines and reduces relative systematic uncertainties between detectors and nuclear reactors. This paper describes the assembly and installation of the Daya Bay antineutrino detectors.
H. R. Band; R. L. Brown; R. Carr; X. C. Chen; X. H. Chen; J. J. Cherwinka; M. C. Chu; E. Draeger; D. A. Dwyer; W. R. Edwards; R. Gill; J. Goett; L. S. Greenler; W. Q. Gu; W. S. He; K. M. Heeger; Y. K. Heng; P. Hinrichs; T. H. Ho; M. Hoff; Y. B. Hsiung; Y. Jin; L. Kang; S. H. Kettell; M. Kramer; K. K. Kwan; M. W. Kwok; C. A. Lewis; G. S. Li; N. Li; S. F. Li; X. N. Li; C. J. Lin; B. R. Littlejohn; J. L. Liu; K. B. Luk; X. L. Luo; X. Y. Ma; M. C. McFarlane; R. D. McKeown; Y. Nakajima; J. P. Ochoa-Ricoux; A. Pagac; X. Qian; B. Seilhan; K. Shih; H. Steiner; X. Tang; H. Themann; K. V. Tsang; R. H. M. Tsang; S. Virostek; L. Wang; W. Wang; Z. M. Wang; D. M. Webber; Y. D. Wei; L. J. Wen; D. L. Wenman; J. Wilhelmi; M. Wingert; T. Wise; H. L. H. Wong; F. F. Wu; Q. Xiao; L. Yang; Z. J. Zhang; W. L. Zhong; H. L. Zhuang
BayWa Sunways JV | Open Energy Information
JV that specialises in developing, planning and realizing medium-sized to large photovoltaic systems and solar plants. References BayWa & Sunways JV1 LinkedIn Connections...
Core Structure of a Bay of Bengal Monsoon Depression
Summer MONEX aircraft flight level and dropwindsonde data have been used to examine the central core structure of a mature Bay of Bengal monsoon depression on 7 July 1979. Continuous aircraft data including cloud photographs were obtained at ...
Charles Warner
Turbulence, Acoustic Backscatter, and Pelagic Nekton in Monterey Bay
During August 2006 aggregations of nekton, most likely small fish, intersected microstructure survey lines in Monterey Bay, California, providing an opportunity to examine biologically generated mixing. Some aggregations filled the water column, ...
Michael C. Gregg; John K. Horne
Space Conditioning Technology Options for High-Bay Facilities
High-bay facility owners are considering the addition of space conditioning systems and technologies to improve their operations. This trend creates an opportunity for utility representatives to provide sound guidance on space conditioning system selection alternatives and other energy efficiency options to cost-effectively meet the owner�s requirements. This report describes the common heating and cooling technologies applicable to high-bay facilities and analyzes the strengths and weaknesses of each in...
Cathodic Protection of the Yaquina Bay Bridge
The Yaquina Bay Bridge in Newport, Oregon, was designed by Conde B. McCullough and built in 1936. The 3,223-foot (982 m) structure is a combination of concrete arch approach spans and a steel through arch over the shipping channel. Cathodic protection is used to prevent corrosion damage to the concrete arches. The Oregon Department of Transportation (Oregon DOT) installed a carbon anode coating (DAC-85) on two of the north approach spans in 1985. This anode was operated at a current density of 6.6 mA/m2(0.6 mA/ft2). No failure of the conductive anode was observed in 1990, five years after application, or in 2000, 15 years after application. Thermal-sprayed zinc anodes 20 mils (0.5 mm) thick were applied to half the south approach spans beginning in 1990. Thermal-sprayed zinc anodes 15 mils (0.4 mm) thick were applied to the remaining spans in 1996. These anodes were operated at a current density of 2.2 mA/m2(0.2 mA/ft2). In 1999, four zones on the approach spans were included in a two-year field trial of humectants to improve zinc anode performance. The humectants LiNO3 and LiBr were applied to two zones; the two adjacent zones were left untreated as controls. The humectants substantially reduced circuit resistance compared to the controls.
Bullard, Sophie J.; Cramer, Stephen D.; Covino, Bernard S., Jr.; Holcomb, Gordon R.; Russell, James H.; Laylor, H.M.; Cryer, C.B.
Microsoft Word - NNSA Logistics A-76 Post - MEO VV Review Report _11_1.doc
National Nuclear Security Agency Logistics Services Most Efficient Organization A-76 Post-Award Validation and Verification Review DECEMBER 2005 Office of Security and Safety Performance Assurance NNSA Logistics MEO Post-Award Validation and Verification Review December 2005 Page 2 of 16 Table of Contents 1.0 INTRODUCTION 2.0 RESULTS 3.0 CONCLUSIONS Appendix A: Supplemental Information Appendix B: Lexicon Appendix C: Documentation Matrix Attachment 1: A-76 Cost Comparison: In-House vs. Contract or ISSA Performance NNSA Logistics MEO Post-Award Validation and Verification Review December 2005 Page 3 of 16 1.0 INTRODUCTION The President has tasked all government operations with creating the most efficient and effective
Field's Point Wastewater Treatment Facility (Narragansett Bay Commission) |
Field's Point Wastewater Treatment Facility (Narragansett Bay Commission) Field's Point Wastewater Treatment Facility (Narragansett Bay Commission) Jump to: navigation, search Name Field's Point Wastewater Treatment Facility (Narragansett Bay Commission) Facility Field's Point Wastewater Treatment Facility (Narragansett Bay Commission) Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Gilbane Building Company Developer Narragansett Bay Commission Energy Purchaser Field's Point Location Providence RI Coordinates 41.79260859°, -71.3896966° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.79260859,"lon":-71.3896966,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
Damping and Phase Advance of the Tide in Western Hudson Bay by the Annual Ice Cover
Admittance analysts of yearlong current meter records and tidal height data shows that the annual ice cover affects the tidal currents and heights in Hudson Bay. Along the west coast of the bay, the semidiurnal tidal current and height are ...
S. J. Prinsenberg
Bay County, Florida ASHRAE 169-2006 Climate Zone | Open Energy...
Bay County, Florida ASHRAE 169-2006 Climate Zone Jump to: navigation, search County Climate Zone Place Bay County, Florida ASHRAE Standard ASHRAE 169-2006 Climate Zone Number...
Scaling up Secondary Unit Production in the East Bay: Impacts and Policy Implications
of �Oakland�s �housing �units. � �The � neighborhoods �05 Scaling up Secondary Unit Production in the East Bay:S CALING �UP �SECONDARY �UNIT �PRODUCTION �IN �THE � E AST �
Wegmann, Jake; Nemirow, Alison; Chapple, Karen
A Flushing Model of Onslow Bay, North Carolina, Based on Intrusion Volumes
Onslow Bay, North Carolina, is repeatedly flushed by intrusions of Gulf Stream water. An exponential dilution model based on intrusion models indicates 20�60 days are required for 50% dilution of Bay waters.
Larry P. Atkinson; Leonard J. Pietrafesa
DOE - Office of Legacy Management -- W R Grace Co - Curtis Bay...
Office of Legacy Management (LM)
Curtis Bay Plant Waste Disposal Area; October 5, 1978 MD.01-5 - ECT Follow-Up Report; An Aerial Radiological Survey of the Curtis Bay Facility of the W. R. Grace Company; November...
Recent Sediments of Bolinas Bay, California: Part C -- Interpretation and Summary of Results
Bay indicates a source in the Franciscan rocks bordering themetamorphic rock of minerals to represent sources. of rock (rock enters the bay, indicating significant contributions of sediment from these sources.
Wilde, Pat; Isselhardt, C.; Osuch, L.; Yancey, T.
Energy Secretary Steven Chu to Travel to Bay Area to Highlight...
Steven Chu to Travel to Bay Area to Highlight State of the Union Address, Commitment to Clean Energy Energy Secretary Steven Chu to Travel to Bay Area to Highlight State of the...
Galveston Bay Biodiesel LP GBB | Open Energy Information
Galveston Bay Biodiesel LP GBB Galveston Bay Biodiesel LP GBB Jump to: navigation, search Name Galveston Bay Biodiesel LP (GBB) Place Houston, Texas Product Developer of a 75.8m litre per year biodiesel facility on the Galveston Bulk Terminal site, located on Galveston Island. Coordinates 29.76045°, -95.369784° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":29.76045,"lon":-95.369784,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
Chesapeake Bay Restoration Act (Maryland) | Department of Energy
Restoration Act (Maryland) Restoration Act (Maryland) Chesapeake Bay Restoration Act (Maryland) < Back Eligibility Agricultural Commercial Construction Developer Industrial Investor-Owned Utility Municipal/Public Utility Rural Electric Cooperative Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Maryland Program Type Environmental Regulations Provider Maryland Department of the Environment This legislation sets limits on development near Chesapeake Bay as well as on dredging and the deposition of dredged material into the bay. The legislation establishes the Cox Creek Citizens Oversight Committee (now mostly defunct); the Hart-Miller-Pleasure Island Oversight Committee, which provides oversight and monitoring of the future development, use, and
EIS-0494: Excelerate Liquefaction Solutions Lavaca Bay LNG Project, Calhoun
4: Excelerate Liquefaction Solutions Lavaca Bay LNG Project, 4: Excelerate Liquefaction Solutions Lavaca Bay LNG Project, Calhoun and Jackson Counties, Texas EIS-0494: Excelerate Liquefaction Solutions Lavaca Bay LNG Project, Calhoun and Jackson Counties, Texas SUMMARY The Federal Energy Regulatory Commission (FERC) is preparing, with DOE as a cooperating agency, an EIS to analyze the potential environmental impacts of a proposal to construct and operate a liquefied natural gas terminal consisting of two floating liquefaction, storage and offloading units and a 29-mile pipeline header system to transport natural gas from existing pipeline systems to the LNG terminal facilities. PUBLIC COMMENT OPPORTUNITIES None at this time. DOCUMENTS AVAILABLE FOR DOWNLOAD March 12, 2013 EIS-0494: Notice of Intent to Prepare an Environmental Impact Statement
Winchester Bay, Oregon: Energy Resources | Open Energy Information
Winchester Bay, Oregon: Energy Resources Winchester Bay, Oregon: Energy Resources (Redirected from Winchester Bay, OR) Jump to: navigation, search Equivalent URI DBpedia Coordinates 43.6770608°, -124.1748369° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.6770608,"lon":-124.1748369,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
City of Sturgeon Bay, Wisconsin (Utility Company) | Open Energy Information
Sturgeon Bay, Wisconsin (Utility Company) Sturgeon Bay, Wisconsin (Utility Company) Jump to: navigation, search Name Sturgeon Bay City of Place Wisconsin Utility Id 18249 Utility Location Yes Ownership M NERC Location MRO NERC MRO Yes ISO MISO Yes Activity Distribution Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png General Service Commercial General Service TOU - 7am - 7pm Commercial General Service TOU - 8am - 8pm Commercial General Service TOU - 9am - 9pm Commercial General Service Three-phase Commercial General Service Three-phase TOU - 7am - 7pm Commercial
Bay Resource Management Center Biomass Facility | Open Energy Information
Center Biomass Facility Center Biomass Facility Jump to: navigation, search Name Bay Resource Management Center Biomass Facility Facility Bay Resource Management Center Sector Biomass Facility Type Municipal Solid Waste Location Bay County, Florida Coordinates 30.1805306°, -85.684578° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":30.1805306,"lon":-85.684578,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
Integrating neural networks and logistic regression to underpin hyper-heuristic search
A hyper-heuristic often represents a heuristic search method that operates over a space of heuristic rules. It can be thought of as a high level search methodology to choose lower level heuristics. Nearly 200 papers on hyper-heuristics have recently ... Keywords: Data mining, Educational timetabling, Hyper-heuristic, Logistic regression, Neural network
Jingpeng Li; Edmund K. Burke; Rong Qu
Robust weighted kernel logistic regression in imbalanced and rare events data
Recent developments in computing and technology, along with the availability of large amounts of raw data, have contributed to the creation of many effective techniques and algorithms in the fields of pattern recognition and machine learning. The main ... Keywords: Classification, Endogenous sampling, Kernel methods, Logistic regression, Truncated Newton
Maher Maalouf; Theodore B. Trafalis
Ensemble Kalman Filter Configurations and Their Performance with the Logistic Map
This paper examines ensemble Kalman filter (EnKF) performance for a number of different EnKF configurations. The study is performed in a perfect-model context using the logistic map as forecast model. The focus is on EnKF performance when the ...
Herschel L. Mitchell; P. L. Houtekamer
Scenario analysis for reverse logistics implementation case study of the Palm Oil supply chain
This work shows the potential reverse logistic flows that can be implemented in the Palm Oil supply chain, based in the waste management and the recovery flows that are obtained trough the agents that made part in the chain. In this context, the study ...
Edgar Alfonso; Diego Ferrucho; Angel Rold�n; Mario Vargas; Freddy Gonz�lez
Exploring the Environmental Effects of Shale Gas Development in the Chesapeake Bay Watershed
Exploring the Environmental Effects of Shale Gas Development in the Chesapeake Bay Watershed STAC Committee). 2013. Exploring the environmental effects of shale gas development in the Chesapeake Bay of shale gas development in the Chesapeake Bay Watershed. The purpose of this workshop was to engage
Space Logistics Modeling and Simulation Analysis using SpaceNet: Four Application Cases
The future of space exploration will not be limited to sortie-style missions to single destinations. Even in present exploration taking place at the International Space Station in low-Earth orbit, logistics is complicated by flights arriving from five launch sites on Earth. The future challenges of space logistics given complex campaigns of interconnected missions in deep space will require innovative tools to aid planning and conceptual design. This paper presents a modeling framework to evaluate the propulsive and logistics feasibility of space exploration from the macro-logistics perspective, which covers the delivery of elements and resources to support demands generated during exploration. The modeling framework is implemented in a versatile and unifying software tool, SpaceNet, for general space exploration scenario analysis. Four space exploration scenarios are presented as application cases to highlight the applicability of the framework across vastly different scenarios. The first case investigates the resupply of the International Space Station between 2010 and 2015 using 77 missions combining NASA, European Space Agency, Japanese Space Agency, Russian Space Agency, and commercial space transportation. The second case models a lunar outpost build-up consisting of 17 flights to achieve continuous human presence over eight years. The third case models and evaluates a conceptual sortie-style mission to a near-Earth object, 1999 AO10. Finally, the fourth case models a flexible path type human exploration in the vicinity of Mars using a combination of human and tele-operated exploration. Taken together these cases demonstrate the challenges and logistical requirements of future human space exploration campaigns during the period from 2010-2050 and illustrate the ability of SpaceNet to model and simulate the feasibility of meeting these requirements. I.
Paul T. Grogan; Howard K. Yue; Olivier L. De Weck
Effect of longer combination vehicles on the total logistic costs of truckload shippers
The purpose of the research described in this paper was to examine the effects of using longer and heavier tractor-trailer combinations from the standpoint of the individual firm or shipper rather than from the viewpoint of the motor carrier. The objective was to determine the effect of longer combination vehicles (LCVS) not only on shippers freight costs but on their inventory and other logistical costs as well. A sample of companies in selected industries provided data on their principal products, traffic flows, and logistics costs in a mail survey. These data were entered into a computer program called the Freight Transportation Analyzer (FTA) which calculated the component logistics costs associated with shipping by single trailers and by two alternative types of double trailer LCVS. A major finding of the study was that, given sufficient flows of a company`s product in a traffic lane, LCVs would in most cases greatly reduce the total logistics cost of firms that currently ship in single trailer truckload quantities. Annual lane volume, lane distance, and annual lane ton-mileage appeared to be good indicators of whether or not shipping by LCVs would benefit a company, whereas product value had surprisingly little influence on the cost-effectiveness of LCVS. An even better indicator was the ratio of current annual freight costs to current annual inventory carrying costs for a firm`s single trailer truckload shipments. Given the current trend toward maintaining small inventories and shipping in small quantities, it is not clear to what extent shippers will abandon single trailer transport to take advantage of the potential reduction in total logistics cost afforded by LCVS.
Middendorf, D.P.; Bronzini, M.S. [Oak Ridge National Lab., TN (United States); Jacoby, J. [Federal Highway Administration, Washington, DC (United States); Coyle, J.J. [Pennsylvania State Univ., University Park, PA (United States)
... power electronic equipment manufacturers, energy and power ... Wyndham Garden Hotel Gaithersburg 805 Russell ... Holiday Inn Hotels 2 Montgomery ...
... ISOs, grid operators, utilities, power electronic ... Wyndham Garden Hotel Gaithersburg 805 Russell Ave. ... Holiday Inn Hotels 2 Montgomery Village Ave ...
Research on operation and management of railway transport of dangerous goods in third-party logistics enterprises
With China's rapid economic development, the demand for railway transportation of dangerous chemicals is getting stronger and stronger. Consequently, the construction of chemical logistics parks has become hotter than ever. This paper is aimed at describing ... Keywords: qualification management, safety management, the third-party logistics, transport of dangerous goods, vehicles management
Xin Li; Yue-fang Yang
The application of brute force logistic regression to corporate credit scoring models: Evidence from Serbian financial statements
In this paper a brute force logistic regression (LR) modeling approach is proposed and used to develop predictive credit scoring model for corporate entities. The modeling is based on 5years of data from end-of-year financial statements of Serbian corporate ... Keywords: Corporate entities, Credit scoring, Logistic regression, Probability of default, Weight of evidence approach
Nebojsa Nikolic, Nevenka Zarkic-Joksimovic, Djordje Stojanovski, Iva Joksimovic
ENSO modulated cyclogenesis over the Bay of Bengal
The role of El Ni�o Southern Oscillation (ENSO) on the modulation of tropical cyclone activity over the Bay of Bengal (BoB) for the 1979-2011 period is examined. It is shown that Ni�o3.4 sea surface temperature (SST) anomalies are negatively ...
Clifford S. Felton; Bulusu Subrahmanyam; V. S. N. Murty
DOE RFI Policy & Logistical Challenges_PHI_response_vFinal_logo
EP9425 EP9425 701 9th St NW Washington, DC 20068 202 872-3227 202 872-3302 Fax firstname.lastname@example.com William M. Gausman Senior Vice President Strategic Initiatives November 1, 2010 US Department of Energy Office of Electricity Delivery and Energy Reliability 1000 Independence Avenue, SW Room 8H033 Washington, DC 20585 RE: Smart Grid RFI: Addressing Policy and Logistical Challenges Pepco Holdings, Inc. (PHI) is pleased to respond to the US Department of Energy (DOE) request for information regarding addressing policy and logistical challenges to smart grid implementation. This follows on the heels of PHI's responses to two other DOE RFls on data access and communications requirements. PHI is one of the largest energy delivery companies in the Mid-Atlantic region. PHI's three
Microsoft Word - Honeywell comments_DOE RFI_Smart Grid Policy and Logistical Challenges.doc
DOE RFI on Smart Grid DOE RFI on Smart Grid Honeywell Inc. 1 INITIAL COMMENTS OF HONEYWELL, INC. ON POLICY AND LOGISTICAL CHALLENGES IN IMPLEMENTING SMART GRID SOLUTIONS Pursuant to DOE's September 17, 2010 request, Honeywell, Inc. ("Honeywell") respectfully submits these comments on policy and logistical challenges and potential solutions for implementing Smart Grid solutions. Honeywell appreciates the opportunity to comment on regulatory policy issues that need to be considered, and on implementation challenges and opportunities critical to deploying Smart Grid systems. We base our views on Honeywell's market-leading position and over 100 years of experience in providing energy management solutions. Nearly 50% of our product portfolio delivers energy efficiency benefits. Honeywell Automation
UNITED STATES OF AMERICA DEPARTMENT OF ENERGY Smart Grid RFI: Addressing Policy and Logistical Challenges
DEPARTMENT OF ENERGY DEPARTMENT OF ENERGY Smart Grid RFI: Addressing Policy and Logistical Challenges The National Association of Regulatory Utility Commissioners (NARUC) appreciates the opportunity to provide comments to the Department of Energy (DOE) on this Request for Information (RFI) regarding the policy and logistical challenges of the smart grid. 75 Fed. Reg. 57006 (Sept. 17, 2010). INTRODUCTION NARUC is the national organization of State commissions responsible for economic and safety regulation of utilities. Our members in the fifty States, the District of Columbia, Puerto Rico, and the Virgin Islands have the obligation under State law to ensure the establishment and maintenance of such energy utility services as may be required by the public convenience and
Development of the Integrated Biomass Supply Analysis and Logistics Model (IBSAL)
The Integrated Biomass Supply & Logistics (IBSAL) model is a dynamic (time dependent) model of operations that involve collection, harvest, storage, preprocessing, and transportation of feedstock for use at a biorefinery. The model uses mathematical equations to represent individual unit operations. These unit operations can be assembled by the user to represent the working rate of equipment and queues to represent storage at facilities. The model calculates itemized costs, energy input, and carbon emissions. It estimates resource requirements and operational characteristics of the entire supply infrastructure. Weather plays an important role in biomass management and thus in IBSAL, dictating the moisture content of biomass and whether or not it can be harvested on a given day. The model calculates net biomass yield based on a soil conservation allowance (for crop residue) and dry matter losses during harvest and storage. This publication outlines the development of the model and provides examples of corn stover harvest and logistics.
Sokhansanj, Shahabaddine [ORNL; Webb, Erin [ORNL; Turhollow Jr, Anthony F [ORNL
Spatial pattern formation in the Keller-Segel model with a logistic source
This paper deals with a Neumann boundary value problem in a d-dimensional box T^d=(0,@p)^d(d=1,2,3) for the chemotaxis-diffusion-growth model (@? ){U"t=@?(D"u@?U-@gU@?V)+rU(1-U/K),V"t=D"v@?^2V+@aU-@bV, which describes the movement of cells in response ... Keywords: Keller-Segel model, Logistic source, Nonlinear dynamics, Pattern formation
Shengmao Fu, Ji Liu
Lakes by the Bay, Florida: Energy Resources | Open Energy Information
the Bay, Florida: Energy Resources the Bay, Florida: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 25.5723287°, -80.3253308° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":25.5723287,"lon":-80.3253308,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
Suttons Bay, Michigan: Energy Resources | Open Energy Information
Suttons Bay, Michigan: Energy Resources Suttons Bay, Michigan: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 44.9766663°, -85.6506387° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":44.9766663,"lon":-85.6506387,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
Half Moon Bay, California: Energy Resources | Open Energy Information
Bay, California: Energy Resources Bay, California: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 37.4635519°, -122.4285862° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.4635519,"lon":-122.4285862,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
MHK Projects/Whiskey Bay | Open Energy Information
Whiskey Bay Whiskey Bay < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":30.4014,"lon":-91.6961,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}
Discovery Bay, California: Energy Resources | Open Energy Information
Discovery Bay, California: Energy Resources Discovery Bay, California: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 37.9085357°, -121.6002291° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.9085357,"lon":-121.6002291,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
Morro Bay, California: Energy Resources | Open Energy Information
Morro Bay, California: Energy Resources Morro Bay, California: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 35.3658075°, -120.8499013° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":35.3658075,"lon":-120.8499013,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
The Daya Bay Reactor Neutrino Experiment Sees Evidence that Electron
Science Highlights » 2013 Science Highlights » 2013 » The Daya Bay Reactor Neutrino Experiment Sees Evidence that Electron Neutrinos Turn into Muon Neutrinos High Energy Physics (HEP) HEP Home About Research Facilities Science Highlights Benefits of HEP Funding Opportunities Advisory Committees News & Resources Contact Information High Energy Physics U.S. Department of Energy SC-25/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-3624 F: (301) 903-2597 E: firstname.lastname@example.com More Information » June 2013 The Daya Bay Reactor Neutrino Experiment Sees Evidence that Electron Neutrinos Turn into Muon Neutrinos Surprisingly large effect greatly increases the probability that new neutrino experiments will be able to see the differences between matter and
Kawela Bay, Hawaii: Energy Resources | Open Energy Information
Kawela Bay, Hawaii: Energy Resources Kawela Bay, Hawaii: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 21.7033333°, -158.01° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":21.7033333,"lon":-158.01,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
Put-in-Bay, Ohio: Energy Resources | Open Energy Information
Put-in-Bay, Ohio: Energy Resources Put-in-Bay, Ohio: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.6542158°, -82.8207429° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.6542158,"lon":-82.8207429,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
Cutler Bay, Florida: Energy Resources | Open Energy Information
Cutler Bay, Florida: Energy Resources Cutler Bay, Florida: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 25.5783°, -80.3377° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":25.5783,"lon":-80.3377,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
MHK Projects/Swansea Bay | Open Energy Information
Swansea Bay Swansea Bay < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":51.5818,"lon":-3.89843,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}
Runaway Bay, Texas: Energy Resources | Open Energy Information
Runaway Bay, Texas: Energy Resources Runaway Bay, Texas: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 33.1678941°, -97.8783696° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":33.1678941,"lon":-97.8783696,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
Tonka Bay, Minnesota: Energy Resources | Open Energy Information
Tonka Bay, Minnesota: Energy Resources Tonka Bay, Minnesota: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 44.9085741°, -93.5930133° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":44.9085741,"lon":-93.5930133,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
Hampton Bays, New York: Energy Resources | Open Energy Information
Hampton Bays, New York: Energy Resources Hampton Bays, New York: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 40.8689892°, -72.5175893° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.8689892,"lon":-72.5175893,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
South Bay, Florida: Energy Resources | Open Energy Information
Bay, Florida: Energy Resources Bay, Florida: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 26.6639559°, -80.7161701° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":26.6639559,"lon":-80.7161701,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
Nassau Bay, Texas: Energy Resources | Open Energy Information
Nassau Bay, Texas: Energy Resources Nassau Bay, Texas: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 29.5446753°, -95.0910413° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":29.5446753,"lon":-95.0910413,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
Microsoft Word - Green Bay Notes - FINAL.doc
(DOE) (DOE) TRANSPORTATION EXTERNAL COORDINATION (TEC) WORKING GROUP MEETING September 13-14, 2006 Green Bay, WI Welcome and Meeting Overview The U.S. Department of Energy (DOE), Transportation External Coordination Working Group (TEC) held its 26 th meeting on September 13-14, 2006, in Green Bay, WI. One- hundred thirty-two participants, representing national, State, Tribal, and local government; industry; professional organizations; and other interested parties, met to address a variety of issues related to DOE's radioactive materials transportation activities. The TEC process includes the involvement of these key stakeholders in developing solutions to DOE transportation issues through their actual participation in the work product. These members provide continuing and improved coordination between DOE,
Buzzards Bay, Massachusetts: Energy Resources | Open Energy Information
Buzzards Bay, Massachusetts: Energy Resources Buzzards Bay, Massachusetts: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.7453829°, -70.618087° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.7453829,"lon":-70.618087,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
An Improved Measurement of Electron Antineutrino Disappearance at Daya Bay
The theory of neutrino oscillations explains changes in neutrino flavor, count rates, and spectra from solar, atmospheric, accelerator, and reactor neutrinos. These oscillations are characterized by three mixing angles and two mass-squared differences. The solar mixing angle, {\\theta}_12, and the atmospheric mixing angle, {\\theta}_23, have been well measured, but until recently the neutrino mixing angle {\\theta}_13 was not well known. The Daya Bay experiment, located northeast of Hong Kong at the Guangdong Nuclear Power Complex in China, has made a precise measurement of electron antineutrino disappearance using six functionally-identical gadolinium-doped liquid scintillator-based detectors at three sites with distances between 364 and 1900 meters from six reactor cores. This proceeding describes the Daya Bay updated result, using 127 days of good run time collected between December 24, 2011 and May 11, 2012. For the far site, the ratio of the observed number of events to the expected number of events assumin...
Webber, David M
ENVIRONMENTAL ASSESSMENT ENVIRONMENTAL ASSESSMENT FOR HYDROPOWER PROJECT PILOT LICENSE Cobscook Bay Tidal Energy Project-FERC Project No. 12711-005 (DOE/EA1916) Maine Federal Energy Regulatory Commission Office of Energy Projects Division of Hydropower Licensing 888 First Street, NE Washington, DC 20426 U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Golden Field Office 1617 Cole Boulevard Golden, Colorado 80401 January 2012 i TABLE OF CONTENTS LIST OF FIGURES ............................................................................................................ iv LIST OF TABLES............................................................................................................... v EXECUTIVE SUMMARY ................................................................................................
Bailey Bay Hot Springs Geothermal Area | Open Energy Information
Bailey Bay Hot Springs Geothermal Area Bailey Bay Hot Springs Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Bailey Bay Hot Springs Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":55.982,"lon":-131.6622,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
Near Fish Bay Geothermal Area | Open Energy Information
Near Fish Bay Geothermal Area Near Fish Bay Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Near Fish Bay Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":57.3509833,"lon":-135.4106696,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
Cold Bay Hot Spring Geothermal Area | Open Energy Information
Cold Bay Hot Spring Geothermal Area Cold Bay Hot Spring Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Cold Bay Hot Spring Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":55.2217,"lon":-162.412,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
Hot Springs Bay Geothermal Area | Open Energy Information
Hot Springs Bay Geothermal Area Hot Springs Bay Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Hot Springs Bay Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":54.166666,"lon":-165.82,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
Weighting and Bayes Nets for Rollup of Surveillance Metrics
The LANL IKE team proposes that the surveillance metrics for several data stream that are used to detect the same failure mode be weighted. Similarly, the failure mode metrics are weighted to obtain a subsystem metric. E.g., if there n data streams (nodes 1-n), the failure mode (node 0) metric is obtained as M{sub 0} = w{sub 1}M{sub 1} + {hor_ellipsis} + w{sub n}M{sub n}, where {Sigma}{sub i=1}{sup n} w{sub i} = 1. This proposal has been implemented with Bayes Nets using the Netica/IKE software by specifying an appropriate conditional probability table (CPT). This CPT is calculated using the same form as (1), where the data stream metrics for the true (T) and false (F) states are replaced by 1 and 0, respectively. Then using this CPT, the failure mode metric calculated by Netica/IKE equals (1). This result has two nice features. First, the rollup Bayes nets is doing can be easily explained. Second, because Bayes Nets can implement this rollup using Netica/IKE, then data marshalling (allocating next year's budget) can be studied. A proof that the claim 'failure mode metric calculated by Netica/IKE equals (1)' for n = 2 and n = 3 follows as well as the sketch of a proof by induction for general n.
Henson, Kriste [Los Alamos National Laboratory; Sentz, Kari [Los Alamos National Laboratory; Hamada, Michael [Los Alamos National Laboratory
A new chance-constrained data envelopment analysis for selecting third-party reverse logistics providers in the existence of dual-role factors
Outsourcing in logistics is a very significant theme and third-party reverse logistics (3PL) provider evaluation and selection has to be realized in a careful manner in order to provide the expected benefits. In this paper a new chance-constrained data ... Keywords: Third-party reverse logistics (3PL) providers
Majid Azadi; Reza Farzipoor Saen
An environment for e-commerce and ICT enabled logistics services in rural areas of transition countries: the case of South Africa
A lot has been done regarding the deployment of e-commerce and logistics solutions in rural areas, but despite of these efforts one still encounters the ineffectual and unsustainable application of ICT-enabled logistics services. The developers of such ... Keywords: ICT-enabled rural logistics, studio
S. M. Muniafu; Els van de Kar; Johann van Rensburg
Applying decision-oriented accounting principles for the simulation-based design of logistics systems in production
In this contribution, we focus on the configuration of logistics systems embedded into production processes. To evaluate the dynamic behavior of alternative configurations, Discrete-Event Simulation (DES) proofs helpful. Emphasis is typically put on ...
Niklas Labitzke; Thomas S. Spengler; Thomas Volling
The impact of bimodal distribution in ocean transportation transit time on logistics costs : an empirical & theoretical analysis
As ocean shipments have increased alongside globalization, transit time uncertainty has increased as well. This problem was observed to have variable levels of impacts on logistics cost and safety stock levels. This thesis ...
Das, Lita
Logistical and transportation infrastructure in Asia : potential for growth and development to support increasing trade with Europe
This thesis examines the implications of the rapid growth in demand for trade between Europe and Asia for the existing transportation network and logistical infrastructure. In general terms, technologies need to improve ...
Deon�s, Nikolaos, 1978-
Addressing Policy and Logistical Challenges to Smart Grid Implementation: Federal Register Notice Volume 75, No. 180- Sep. 17, 2010
The Department of Energy (DOE) is seeking comments from interested parties on policy and logistical challenges that confront smart grid implementation, as well as recommendations on how to best...
Current Perspectives on the Physical and Biological Processes of Humboldt Bay
northern Alaska; Cosmopolitan ( Hartman 1969). Humboldt Bay,canyon depths in silty mud; Cosmopolitan (Hartman 1969). New1996). Distribution: Cosmopolitan, in intertidal sand flats
Schlosser, S. C.; Rasmussen, R.
The hunt for theta13 at the Daya Bay nuclear power plant
The Daya Bay reactor neutrino experiment is located at the Daya Bay nuclear power plant in Shenzhen, China. The experiment deploys eight "identical" antineutrino detectors to measure antineutrino fluxes from six 2.9 GW_{th} reactor cores in three underground experimental halls at different distances. The target zone of the Daya Bay detector is filled with 20 t 0.1% Gd doped LAB liquid scintillator. The baseline uncorrelated detector uncertainty is ~0.38% using current experimental techniques. Daya Bay can reach a sensitivity of <0.01 to $sin^2 2theta_{13}$ with baseline uncertainties after 3 years of data taking.
Wei Wang; for the Daya Bay collaboration
Wang, Wei
FEMP ESPC Success Story - U.S. Naval Station, Guantanamo Bay...
Stewardship and Cost Savings These photographs chronicle the installation of the wind turbines at John Paul Jones Hill, Guantanamo Bay. The four wind turbine towers are...
(ANTI)PETER Principle - Discrete (INVERSE) Logistic Equation with Imprecisely Estimated and Stimulated Carrying Capacity
In this work we consider the Peter principle and anti-Peter principle as the discrete logistic and discrete inverse logistic equation. Especially we discuss imprecisely estimated (by hierarchical control mechanism) carrying capacity, i.e. boundary (in)competence level of a hierarchy member. It implies that Peter principle holds two sub-principles. In the first one objective boundary competence level is increased for estimation error. In the second one objective boundary competence level is decreased for estimation error. Similarly, anti-Peter principle holds two sub-principles too. All this implies that paradoxical situations that follow from Peter and anti-Peter principle can be simply removed by decrease of the error of hierarchical (social) control. Also we discuss cases by Peter principle when error of the boundary competence level by estimation grows up. (Then, in fact, there is no estimation error but stimulation of the boundary level by control mechanism.) By first Peter sub-principle it implies anarchy in the social structure or, correspondingly, cancer in the biology and medicine, schizophrenia in the psychology and inflation in the economy. By second Peter sub-principle it implies a totalitary social structure (dictature or caste regime) or multiplex sclerosis and other autoimmune diseases in biology and medicine, servile mentality or low value complex in psychology and depression by hyperactive political influences in economy. Finally, monotonus changes of the stimulated part of boundary level cause corresponding phase transitions discussed on the example of the introspection in the psychology.
V. Pankovic; M. Krmar; R. Glavatovic
WindPACT Turbine Design Scaling Studies Technical Area 2: Turbine, Rotor and Blade Logistics
Through the National Renewable Energy Laboratory (NREL), the United States Department of Energy (DOE) implemented the Wind Partnership for Advanced Component Technologies (WindPACT) program. This program will explore advanced technologies that may reduce the cost of energy (COE) from wind turbines. The initial step in the WindPACT program is a series of preliminary scaling studies intended to determine the optimum sizes for future turbines, help define sizing limits for certain critical technologies, and explore the potential for advanced technologies to contribute to reduced COE as turbine scales increase. This report documents the results of Technical Area 2-Turbine Rotor and Blade Logistics. For this report, we investigated the transportation, assembly, and crane logistics and costs associated with installation of a range of multi-megawatt-scale wind turbines. We focused on using currently available equipment, assembly techniques, and transportation system capabilities and limitations to hypothetically transport and install 50 wind turbines at a facility in south-central South Dakota.
Smith, K.
Meter-baseline tests of sterile neutrinos at Daya Bay
We explore the sensitivity of an experiment at the Daya Bay site, with a point radioactive source and a few meter baseline, to neutrino oscillations involving one or more eV mass sterile neutrinos. We find that within a year, the entire 3+2 and 1+3+1 parameter space preferred by global fits can be excluded at the 3\\sigma level, and if an oscillation signal is found, the 3+1 and 3+2 scenarios can be distinguished from each other at more than the 3\\sigma level provided one of the sterile neutrinos is lighter than 0.5 eV.
Y. Gao; D. Marfatia
Prudhoe Bay Oil Production Optimization: Using Virtual intelligence Techniques, Stage One: Neural Model Building
SPE 77659 Prudhoe Bay Oil Production Optimization: Using Virtual intelligence Techniques, Stage One Exploration (Alaska) and Carl D. Sisk SPE, BP Exploration Copyright 2002, Society of Petroleum Engineers Inc, TX 75083-3836, U.S.A., fax 01-972-952-9435. Abstract Field data from the Prudhoe Bay oil field
Numerical Simulation of a Satellite-Observed Calm Zone in Montetey Bay, California
Satellite imagery from 18 April 1978 suggests the presence of a semicircular zone of calm or new-calm seas in Monterey Bay, California. It is hypothesized that sea breeze circulations account for the calm zone in the bay, although a lack of in ...
Rolf H. Langland; Paul M. Tag; Robert W. Fett
Characteristics and Trends of River Discharge into Hudson, James, and Ungava Bays, 1964�2000
The characteristics and trends of observed river discharge into the Hudson, James, and Ungava Bays (HJUBs) for the period 1964�2000 are investigated. Forty-two rivers with outlets into these bays contribute on average 714 km3 yr?1 [= 0.023 Sv (1 ...
Stephen J. D�ry; Marc Stieglitz; Edward C. McKenna; Eric F. Wood
Bay Area Transit Agencies Propel Fuel Cell Buses Toward Commercialization (Fact Sheet)
This fact sheet describes the Zero Emission Bay Area (ZEBA) demonstration of the next generation of fuel cells buses. Several transit agencies in the San Francisco Bay Area are participating in demonstrating the largest single fleet of fuel cell buses in the United States.
A Pb isotope record of mid-Atlantic US atmospheric Pb emissions in Chesapeake Bay sediments
A Pb isotope record of mid-Atlantic US atmospheric Pb emissions in Chesapeake Bay sediments Franco Marcantonio a,*, Andrew Zimmerman b,1 , Yingfeng Xu a , Elizabeth Canuel b a Department of Geology, Institute analyzed sediments from three sites in the mesohaline portion of Chesapeake Bay (CB) for Pb isotopes
Observations of Shallow-Water Transport and Shear in Western Florida Bay
Acoustic Doppler profiler (ADP) data are used to describe depth-integrated transport and vertical shear at two study sites along the open western boundary of Florida Bay. During a 404-day study period, transport was into the bay at the northern ...
Ned P. Smith
Comparing Bayes model averaging and stacking when model approximation error cannot be ignored
We compare Bayes Model Averaging, BMA, to a non-Bayes form of model averaging called stacking. In stacking, the weights are no longer posterior probabilities of models; they are obtained by a technique based on cross-validation. When the correct data ...
Bertrand Clarke
Modelling the Mean Barotropic Circulation in the Bay of Fundy and Gulf of Maine
Two dimensional, nonlinear numerical models are used to study the residual barotropic circulation generated by tides and steady winds in the Bay of Fundy and Gulf of Maine. The first a multi-grid model, is used to examine the Bay of Fundy with a ...
David A. Greenberg
Photo of the Week: The Daya Bay Antineutrino Detector | Department of
Photo of the Week: The Daya Bay Antineutrino Detector Photo of the Week: The Daya Bay Antineutrino Detector Photo of the Week: The Daya Bay Antineutrino Detector September 7, 2012 - 3:07pm Addthis While they might look like drops of water or soap bubbles, these colorful figures are actually photomultiplier tubes that line the walls of the Daya Bay neutrino detector. Neutrinos and antineutrinos are neutral particles produced in nuclear beta decay when neutrons turn into protons. This experiment aims to measure the final unknown mixing angle that describes how neutrinos oscillate. The tubes are designed to amplify and record the faint flashes of light that signify an antineutrino interaction. Lawrence Berkeley and Brookhaven National Labs and a number of physicists at U.S. universities played leading roles in the Daya Bay experiment, from designing the detectors all the way through to analyzing the data gathered. | Photo by Roy Kaltschmidt, LBNL.
EA-1916: Ocean Renewable Power Company Maine, LLC Cobscook Bay Tidal Energy
16: Ocean Renewable Power Company Maine, LLC Cobscook Bay 16: Ocean Renewable Power Company Maine, LLC Cobscook Bay Tidal Energy Pilot Project, Cobscook in Washington County, Maine EA-1916: Ocean Renewable Power Company Maine, LLC Cobscook Bay Tidal Energy Pilot Project, Cobscook in Washington County, Maine Summary This EA evaluates the environmental impacts of a project that would use the tidal currents of Cobscook Bay to generate electricity via cross-flow Kinetic System turbine generator units (TGU) mounted on the seafloor. The TGUs would capture energy from the flow in both ebb and flood directions. Public Comment Opportunities None available at this time. Documents Available for Download March 19, 2012 EA-1916: Finding of No Significant Impact Ocean Renewable Power Company Maine, LLC Cobscook Bay Tidal Energy Pilot
Geek-Up[2.24.2011]: Dynamical Fingerprints and Daya Bay | Department of
Geek-Up[2.24.2011]: Dynamical Fingerprints and Daya Bay Geek-Up[2.24.2011]: Dynamical Fingerprints and Daya Bay Geek-Up[2.24.2011]: Dynamical Fingerprints and Daya Bay February 25, 2011 - 4:37pm Addthis Nuclear power plants like the twin Daya Bay reactors, yield large amounts of electron antineutrinos -- millions of quadrillions of them every second. | Photo Courtesy of Roy Kaltschmidt, Lawrence Berkeley National Laboratory Nuclear power plants like the twin Daya Bay reactors, yield large amounts of electron antineutrinos -- millions of quadrillions of them every second. | Photo Courtesy of Roy Kaltschmidt, Lawrence Berkeley National Laboratory Niketa Kumar Niketa Kumar Public Affairs Specialist, Office of Public Affairs Researchers at Oak Ridge National Lab have a developed "fingerprints" to match the results of experiments with data from supercomputer
2.24.2011]: Dynamical Fingerprints and Daya Bay 2.24.2011]: Dynamical Fingerprints and Daya Bay Geek-Up[2.24.2011]: Dynamical Fingerprints and Daya Bay February 25, 2011 - 4:37pm Addthis Nuclear power plants like the twin Daya Bay reactors, yield large amounts of electron antineutrinos -- millions of quadrillions of them every second. | Photo Courtesy of Roy Kaltschmidt, Lawrence Berkeley National Laboratory Nuclear power plants like the twin Daya Bay reactors, yield large amounts of electron antineutrinos -- millions of quadrillions of them every second. | Photo Courtesy of Roy Kaltschmidt, Lawrence Berkeley National Laboratory Niketa Kumar Niketa Kumar Public Affairs Specialist, Office of Public Affairs Researchers at Oak Ridge National Lab have a developed "fingerprints" to match the results of experiments with data from supercomputer
1916: Ocean Renewable Power Company Maine, LLC Cobscook Bay 1916: Ocean Renewable Power Company Maine, LLC Cobscook Bay Tidal Energy Pilot Project, Cobscook in Washington County, Maine EA-1916: Ocean Renewable Power Company Maine, LLC Cobscook Bay Tidal Energy Pilot Project, Cobscook in Washington County, Maine Summary This EA evaluates the environmental impacts of a project that would use the tidal currents of Cobscook Bay to generate electricity via cross-flow Kinetic System turbine generator units (TGU) mounted on the seafloor. The TGUs would capture energy from the flow in both ebb and flood directions. Public Comment Opportunities None available at this time. Documents Available for Download March 19, 2012 EA-1916: Finding of No Significant Impact Ocean Renewable Power Company Maine, LLC Cobscook Bay Tidal Energy Pilot
Microsoft Word - RedSeal_Smart Grid Policy Logistics RFI-sd.docx
on Smart Grid RFI on Smart Grid RFI RedSeal Systems, Inc. 1 October 29, 2010 Office of Electricity Delivery and Energy Reliability US Department of Energy Room 8H033 1000 Independence Avenue, SW Washington, DC 20585 Re: Comments on "Smart Grid RFI: Addressing Policy and Logistical Challenges" 75 FR 57006 [FR Doc. 2010-23251] From: Steve Dauber Vice-President, Marketing RedSeal Systems 2121 South El Camino Real, Suite 300 San Mateo, CA 94403 Ph: 650-645-6209 firstname.lastname@example.com www.redseal.net RedSeal Systems is a leading developer of security posture management software for large organizations and has provided their software to several major utilities for complex network security applications. RedSeal software - in use by more than 150 industry and
Feedstock Logistics Datasets from DOE's Bioenergy Knowledge Discovery Framework (KDF)
DOE Data Explorer (OSTI)
The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about]
Holdings include datasets, models, and maps. This is a very new resource, but the collections will grow due to both DOE contributions and individuals� data uploads. Currently the Feedstock Logistics collection includes 38 items or links, of which eight are datasets.
Mercury in mussels of Bellingham Bay, Washington, (USA)
Laboratory experiments demonstrated the existence of metallothionein-like, low molecular weight, mercury-binding proteins in the marine mussel Mytilus edulis. Relatively large quantities of mercury were associated with such proteins in gills and digestive gland, the organs of interest in the present study. /sup 14/C-incorporation indicated induction of the protein in gills, but not in digestive gland. Mercury in digestive gland may have bound to existing metal-binding proteins. Short-term incorporation of mercury occurred primarily in gills. The induction of mercury-binding proteins in gills may have facilitated detoxification of mercury at the site of uptake. Mercury in mussels of Bellingham Bay were shown to have decreased from 1970 to 1978, the collection date for the present study. Mercury levels were low but approximately three times higher than those from uncontaminated areas. Mercury associated with the mercury-binding protein of gills and digestive glands of Bellingham Bay mussels were low and reflected the concentrations measured in the whole tissues. However, the highest concentration of mercury was associated with the low molecular pool components, the identity of which is not presently known.
Roesijadi, G.; Drum, A.S.; Bridge, J.R.
The theory of neutrino oscillations explains changes in neutrino flavor, count rates, and spectra from solar, atmospheric, accelerator, and reactor neutrinos. These oscillations are characterized by three mixing angles and two mass-squared differences. The solar mixing angle, {\\theta}_12, and the atmospheric mixing angle, {\\theta}_23, have been well measured, but until recently the neutrino mixing angle {\\theta}_13 was not well known. The Daya Bay experiment, located northeast of Hong Kong at the Guangdong Nuclear Power Complex in China, has made a precise measurement of electron antineutrino disappearance using six functionally-identical gadolinium-doped liquid scintillator-based detectors at three sites with distances between 364 and 1900 meters from six reactor cores. This proceeding describes the Daya Bay updated result, using 127 days of good run time collected between December 24, 2011 and May 11, 2012. For the far site, the ratio of the observed number of events to the expected number of events assuming no neutrino oscillation is 0.944 +/- 0.007(stat) +/- 0.003(syst). A fit for {\\theta}_13 in the three-neutrino framework yields sin^2 2{\\theta}_13 = 0.089 +/- 0.010(stat) +/- 0.005(syst).
David M. Webber; for the Daya Bay Collaboration
The optimal approach for parameter settings based on adjustable contracting capacity for the hospital supply chain logistics system
This paper establishes a simulation model for the supply chain of the hospital logistic system (SCHLS) based on the dynamic Taguchi method. The model derives optimal factor level combinations in the SCHLS setting when establishing adjustable contracting ... Keywords: Genetic algorithm (GA), Neural network (NN), Supply chain (SC), Taguchi method
Hung-Chang Liao; Hsu-Hwa Chang
Integrating gray system theory and logistic regression into case-based reasoning for safety assessment of thermal power plants
Safety assessment of thermal power plants (TPPs) is one of the important means to guarantee the safety of production in thermal power production enterprises. Due to various technical limitations, existing assessment approaches, such as analytic hierarchy ... Keywords: Case-based reasoning, Gray system theory, Intelligent decision support system, Logistic regression, Management safety assessment, Thermal power plants
Changyong Liang; Dongxiao Gu; Isabelle Bichindaritz; Xingguo Li; Chunrong Zuo; Wenen Cheng
Coos Bay, Oregon: Energy Resources | Open Energy Information
Oregon: Energy Resources Oregon: Energy Resources (Redirected from Coos Bay, OR) Jump to: navigation, search Equivalent URI DBpedia Coordinates 43.3665007°, -124.2178903° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.3665007,"lon":-124.2178903,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
City of Bay City, Michigan (Utility Company) | Open Energy Information
City, Michigan (Utility Company) City, Michigan (Utility Company) Jump to: navigation, search Name City of Bay City Place Michigan Utility Id 1366 Utility Location Yes Ownership M NERC Location ECAR NERC RFC Yes ISO MISO Yes Operates Generating Plant Yes Activity Generation Yes Activity Buying Transmission Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png COMMERCIAL DEMAND RATE Commercial COMPANY OWNED STREET LIGHTING (High Pressure Sodium - 100 WATTS) Lighting COMPANY OWNED STREET LIGHTING (High Pressure Sodium - 150 WATTS) Lighting COMPANY OWNED STREET LIGHTING (High Pressure Sodium - 250 WATTS) Lighting
Manual Calibration System for Daya Bay Reactor Neutrino Experiment
The Daya Bay Reactor Neutrino Experiment has measured the last unknown neutrino mixing angle, {\\theta}13, to be non-zero at the 7.7{\\sigma} level. This is the most precise measurement to {\\theta}13 to date. To further enhance the understanding of the response of the antineutrino detectors (ADs), a detailed calibration of an AD with the Manual Calibration System (MCS) was undertaken during the summer 2012 shutdown. The MCS is capable of placing a radioactive source with a positional accuracy of 25 mm in R direction, 20 mm in Z axis and 0.5{\\deg} in {\\Phi} direction. A detailed description of the MCS is presented followed by a summary of its performance in the AD calibration run.
Hanxiong Huang; Xichao Ruan; Jie Ren; Chengjun Fan; Yannan Chen; Yinglong Lv; Zhaohui Wang; Zuying Zhou; Long Hou; Biao Xin; Chaoju Yu; Jiawen Zhang; Yinghong Zhang; Jingzhi Bai; Honglin Zhuang; Wei He; Jianglai Liu; Elizabeth Worcester; Harry Themann; Jeff Cherwinka; David M. Webber
Forecasting the Bayes factor of a future observation
I present a new procedure to forecast the Bayes factor of a future observation by computing the Predictive Posterior Odds Distribution (PPOD). This can assess the power of future experiments to answer model selection questions and the probability of the outcome, and can be helpful in the context of experiment design. As an illustration, I consider a central quantity for our understanding of the cosmological concordance model, namely the scalar spectral index of primordial perturbations, n_S. I show that the Planck satellite has over 90% probability of gathering strong evidence against n_S = 1, thus conclusively disproving a scale-invariant spectrum. This result is robust with respect to a wide range of choices for the prior on n_S.
Roberto Trotta
Multi-AUV control and adaptive sampling in Monterey Bay
Abstract�Operations with multiple autonomous underwater vehicles (AUVs) have a variety of underwater applications. For example, a coordinated group of vehicles with environmental sensors can perform adaptive ocean sampling at the appropriate spatial and temporal scales. We describe a methodology for cooperative control of multiple vehicles based on virtual bodies and artificial potentials (VBAP). This methodology allows for adaptable formation control and can be used for missions such as gradient climbing and feature tracking in an uncertain environment. We discuss our implementation on a fleet of autonomous underwater gliders and present results from sea trials in Monterey Bay in August, 2003. These at-sea demonstrations were performed as part of the Autonomous Ocean Sampling Network (AOSN) II project. Index Terms�Adaptive sampling, autonomous underwater vehicles (AUVs), cooperative control, formations, gradient climbing, underwater gliders. I.
Edward Fiorelli; Naomi Ehrich Leonard; Senior Member; Pradeep Bhatta; Derek A. Paley; Student Member; Ralf Bachmayer; David M. Fratantoni
Surface Currents and Winds at the Delaware Bay Mouth
Knowledge of the circulation of estuaries and adjacent shelf waters has relied on hydrographic measurements, moorings, and local wind observations usually removed from the region of interest. Although these observations are certainly sufficient to identify major characteristics, they lack both spatial resolution and temporal coverage. High resolution synoptic observations are required to identify important coastal processes at smaller scales. Long observation periods are needed to properly sample low-frequency processes that may also be important. The introduction of high-frequency (HF) radar measurements and regional wind models for coastal studies is changing this situation. Here we analyze synoptic, high-resolution surface winds and currents in the Delaware Bay mouth over an eight-month period (October 2007 through May 2008). The surface currents were measured by two high-frequency radars while the surface winds were extracted from a data-assimilating regional wind model. To illustrate the utility of these monitoring tools we focus on two 45-day periods which previously were shown to present contrasting pictures of the circulation. One, the low-outflow period is from 1 October through 14 November 2007; the other is the high-outflow period from 3 March through 16 April 2008. The large-scale characteristics noted by previous workers are clearly corroborated. Specifically the M2 tide dominates the surface currents, and the Delaware Bay outflow plume is clearly evident in the low frequency currents. Several new aspects of the surface circulation were also identified. These include a map of the spatial variability of the M2 tide (validating an earlier model study), persistent low-frequency cross-mouth flow, and a rapid response of the surface currents to a changing wind field. However, strong wind episodes did not persist long enough to set up a sustained Ekman response.
Muscarella, P A; Barton, N P; Lipphardt, B L; Veron, D E; Wong, K C; Kirwan, A D
Eileen west end development, Prudhoe Bay field, Alaska
The western periphery of Prudhoe Bay field is made of small faulted structures referred to as the Eileen West End area. Development plans for Eileen West End consist of drilling approximately 90 production wells on 80-ac spacing, two nonconventional (> 85{degree}) gas injectors, and one to two conventional gas injectors from two gravel pads (W and Z pads). The confirmation sequence of 20 wells was prioritized to provide information about the structure, fluid contacts, reservoir rock quality, and shale extent in the areas of the nonconventional gas injectors and to maximize, broad initial offtake. Drilling began with two rigs in February 1988, and production started up from Eileen West End in June 1988. In October 1989, 46 wells produced 50,000 BOPD. Peak capacity of 60,000 BOPD is expected by May 1990. Gas cap gas injection was initiated in the West End along with production. Two nonconventional gas injectors currently inject 90 MMCFD. A final injection rate for the West End is targeted at 130 MMCFD. Initiating injection concurrently with production will forestall additional pressure depletion from offtake in the Main field of Prudhoe Bay. Integration of geologic reservoir description and engineering data is crucial to optimize, reservoir development. Current effort include mud logging, sidewall core sampling, formation pressure testing, and fluid contact monitoring with open-hole and cased-hole logs. These data are interpreted to identify areas of gas or water influx and gas breakthrough to define the extent of permeability barriers, to evaluate pressure support requirements, and to effectively plan the remaining conventional and nonconventional producers.
Cooke, A. (BP Exploration, Anchorage, AK (USA))
Equipment manufacturers have made rapid improvements in biomass harvesting and handling equipment. These improvements have increased transportation and handling efficiencies due to higher biomass densities and reduced losses. Improvements in grinder efficiencies and capacity have reduced biomass grinding costs. Biomass collection efficiencies (the ratio of biomass collected to the amount available in the field) as high as 75% for crop residues and greater than 90% for perennial energy crops have also been demonstrated. However, as collection rates increase, the fraction of entrained soil in the biomass increases, and high biomass residue removal rates can violate agronomic sustainability limits. Advancements in quantifying multi-factor sustainability limits to increase removal rate as guided by sustainable residue removal plans, and mitigating soil contamination through targeted removal rates based on soil type and residue type/fraction is allowing the use of new high efficiency harvesting equipment and methods. As another consideration, single pass harvesting and other technologies that improve harvesting costs cause biomass storage moisture management challenges, which challenges are further perturbed by annual variability in biomass moisture content. Monitoring, sampling, simulation, and analysis provide basis for moisture, time, and quality relationships in storage, which has allowed the development of moisture tolerant storage systems and best management processes that combine moisture content and time to accommodate baled storage of wet material based upon �shelf-life.� The key to improving biomass supply logistics costs has been developing the associated agronomic sustainability and biomass quality technologies and processes that allow the implementation of equipment engineering solutions.
J. Richard Hess; Kevin L. Kenney; Christopher T. Wright; David J. Muth; William Smith
Doe Bay Village Resort Pool & Spa Low Temperature Geothermal Facility |
Doe Bay Village Resort Pool & Spa Low Temperature Geothermal Facility Doe Bay Village Resort Pool & Spa Low Temperature Geothermal Facility Jump to: navigation, search Name Doe Bay Village Resort Pool & Spa Low Temperature Geothermal Facility Facility Doe Bay Village Resort Sector Geothermal energy Type Pool and Spa Location Olga, Washington Coordinates Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[]}
Thermal Waters Along The Konocti Bay Fault Zone, Lake County, California- A
Waters Along The Konocti Bay Fault Zone, Lake County, California- A Waters Along The Konocti Bay Fault Zone, Lake County, California- A Re-Evaluation Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Thermal Waters Along The Konocti Bay Fault Zone, Lake County, California- A Re-Evaluation Details Activities (3) Areas (1) Regions (0) Abstract: The Konocti Bay fault zone (KBFZ), initially regarded by some as a promising target for liquid-dominated geothermal systems, has been a disappointment. At least five exploratory wells were drilled in the vicinity of the KBFZ, but none were successful. Although the Na-K-Ca and Na-Li geothermometers indicate that the thermal waters discharging in the vicinity of Howard and Seigler Springs may have equilibrated at temperatures greater than 200°C, the spring temperatures and fluid
Modeling Air�Land�Sea Interactions Using the Integrated Regional Model System in Monterey Bay, California
The air�land�sea interaction in the vicinity of Monterey Bay, California, is simulated and investigated using a new Integrated Regional Model System (I-RMS). This new model realistically resolves coastal processes and submesoscale features that ...
Yu-Heng Tseng; Shou-Hung Chien; Jiming Jin; Norman L. Miller
Present Wave Climate in the Bay of Biscay: Spatiotemporal Variability and Trends from 1958 to 2001
Climate change impacts on wave conditions can increase the risk of offshore and coastal hazards. The present paper investigates wave climate multidecadal trends and interannual variability in the Bay of Biscay during the past decades (1958�2001). ...
Elodie Charles; D�borah Idier; J�r�me Thi�bot; Gon�ri Le Cozannet; Rodrigo Pedreros; Fabrice Ardhuin; Serge Planton
Climate Change, Justice, and Adaptation among African American Communities in the Chesapeake Bay Region
In this paper, the authors present results from a study of climate change and community adaptation, focusing on two African American communities on the Eastern Shore of the Chesapeake Bay. These two communities are representative of small, ...
Michael Paolisso; Ellen Douglas; Ashley Enrici; Paul Kirshen; Chris Watson; Matthias Ruth
Targeting Net Zero Energy at Marine Corps Base Kaneohe Bay, Hawaii: Assessment and Recommendations
NREL performed a comprehensive assessment to appraise the potential of MCBH Kaneohe Bay to achieve net zero energy status through energy efficiency, renewable energy, and electric vehicle integration. This report summarizes the results of the assessment and provides energy recommendations.
Structure, Propagation, and Mixing of Energetic Baroclinic Tides in Mamala Bay, Oahu, Hawaii
Large semidiurnal vertical displacements (?100 m) and strong baroclinic currents (?0.5 m s?1; several times as large as barotropic currents) dominate motions in Mamala Bay, outside the mouth of Pearl Harbor, Hawaii. During September 2002, the ...
Matthew H. Alford; Michael C. Gregg; Mark A. Merrifield
An Advanced Data Assimilation System for the Chesapeake Bay: Performance Evaluation
An advanced data assimilation system, the local ensemble transform Kalman filter (LETKF), has been interfaced with a Regional Ocean Modeling System (ROMS) implementation on the Chesapeake Bay (ChesROMS) as a first step toward a reanalysis and ...
Matthew J. Hoffman; Takemasa Miyoshi; Thomas W. N. Haine; Kayo Ide; Christopher W. Brown; Raghu Murtugudde
Functional Empirical Bayes Methods for Identifying Genes with Different Time-course Expression Profiles
a mixed-e?ects model with B-splines. Bioinformatics, 19:474-Bayes, Gibbs-sampler, B-spline, False discovery rate, geneand propose to use cubic B-splines (De Boor, 1978) to
Hong, Fangxin; Li, Hongzhe
Aspects of the ecology and behaviour of bottlenose dolphins (Tursiops truncatus) in Santa Monica Bay, California
D.L. 1999. Inshore and offshore bottlenose dolphin (Tursiopsin deeper waters further offshore (>0.5km). No correlationsschools observed inshore and offshore in the bay, with the
Bearzi, Maddalena
Mesoscale Organization and Cloud Microphysics in a Bay of Bengal Depression
Airborne radar and cloud microphysical data were obtained throughout a monsoon depression observed over the Bay of Bengal on 3�8 July 1979 during the Summer Monsoon Experiment of the Global Atmospheric Research Programme. The precipitation in the ...
Robert A. Houze Jr.; Dean D. Churchill
Time-averaged fluxes of lead and fallout radionuclides to sediments in Florida Bay
Time-averaged fluxes of lead and fallout radionuclides to sediments in Florida Bay J. A. Robbins,1 between the maximum atmospheric radionuclide fallout and peaks in sediment temporal records of 137 Cs
Minimum bayes risk decoding with enlarged hypothesis space in system combination
This paper describes a new system combination strategy in Statistical Machine Translation. Tromble et al. (2008) introduced the evidence space into Minimum Bayes Risk decoding in order to quantify the relative performance within lattice or n-best output ...
Tsuyoshi Okita; Josef van Genabith
A study of on-line quasi-Bayes adaptation for CDHMM-based speech recognition
We present a framework of quasi-Bayes (QB) learning of the parameters of the continuous density hidden Markov model (CDHMM) with Gaussian mixture state observation densities. Based on the theory of recursive Bayesian inference, the QB algorithm is designed ...
Qiang Huo; Chin-Hui Lee
Dynamics of Willapa Bay, Washington: A Highly Unsteady, Partially Mixed Estuary
Results from 3 yr of hydrographic time series are shown for Willapa Bay, Washington, a macrotidal, partially mixed estuary whose river and ocean end members are both highly variable. Fluctuating ocean conditions� alternations between wind-driven ...
N. S. Banas; B. M. Hickey; P. MacCready; J. A. Newton
Abyssal Penetration and Bottom Reflection of Internal Tidal Energy in the Bay of Biscay
This paper describes field observations in the Bay of Biscay, and presents convincing evidence for the existence of a broad beam of internal tidal energy propagating downward from a source region on the upper continental slopes, which, after ...
R. D. Pingree; A. L. New
Multiyear Observations of Cloud Lines Associated with the Chesapeake and Delaware Bays
Satellite and corresponding near-surface in situ observations have been made of single- and dual-band cloud events [dubbed anomalous cloud lines (ACLs)] associated with the Chesapeake and Delaware Bays. A previous study developed the basis for ...
Todd D. Sikora; David M. Halverson
Energetics of Barotropic and Baroclinic Tides in the Monterey Bay Area
A detailed energy analysis of the barotropic and baroclinic M2 tides in the Monterey Bay area is performed. The authors first derive a theoretical framework for analyzing internal tide energetics based on the complete form of the barotropic and ...
Dujuan Kang; Oliver Fringer
Multiscale Processes and Nonlinear Dynamics of the Circulation and Upwelling Events off Monterey Bay
The nonlinear multiscale dynamics of the Monterey Bay circulation during the Second Autonomous Ocean Sampling Network (AOSN-II) Experiment (August 2003) is investigated in an attempt to understand the complex processes underlying the highly ...
X. San Liang; Allan R. Robinson
Scale-dependent dispersion within the stratified interior on the shelf of northern Monterey Bay
Autonomous underwater vehicle measurements are used to quantify lateral dispersion of a continuously released Rhodamine WT dye plume within the stratified interior of shelf waters in northern Monterey Bay, CA. The along-shelf evolution of the ...
Ryan J. Moniz; Derek A. Fong; C. Brock Woodson; Susan K. Willis; Mark T. Stacey; Stephen G. Monismith
Summer Cumulus Cloud Seeding Experiments near Yellowknife and Thunder Bay, Canada
A summer (June and July) cumulus cloud seeding experiment was conducted in Canada near Yellowknife in 1975 and 1976, and Thunder Bay in 1977 and 1978. Microphysical and dynamical measurements were made with three instrumented aircraft, flying in ...
G. A. Isaac; J. W. Strapp; R. S. Schemenauer; J. I. Macpherson
Dynamics and Ecosystem threats of Bidirectional Cordgrass Hybridization in San Francisco Bay
CALEPPC), October 2002, Sacramento, CA Sloop CM, Ayres DR,Delta Science Meeting, Sacramento, CA. Hall RJ , HastingsBay Delta Science Meeting, Sacramento, CA Sloop C, Ayres DR,
Strong, Donald R.; Ayres, D R
Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat-Turkey)
The purpose of this study is to compare the landslide susceptibility mapping methods of frequency ratio (FR), logistic regression and artificial neural networks (ANN) applied in the Kat County (Tokat-Turkey). Digital elevation model (DEM) was first constructed ... Keywords: Artificial neural networks, Frequency ratio, GIS, Kat (Tokat-Turkey), Landslide, Logistic regression, Susceptibility map
I??k Yilmaz
Evaluation of 1991-1992 Brood Overwinter-Reared Coho Released from Net Pens in Youngs Bay, Oregon : Final Completion Report Youngs Bay Terminal Fishery Project.
Funding from Bonneville Power Administration was provided to the Oregon Department of Fish and Wildlife and the Clatsop County Economic Development Council`s Fisheries Project to identify and develop terminal fishing opportunities. The 1991 and 1992 brood fingerling coho from Oregon Department of Fish and Wildlife hatcheries were successfully reared during the winter period to smolt stage in Youngs Bay utilizing floating net pens. Based on coded-wire-tag recoveries during 1991--93 from 2-week net-pen acclimation releases, total accountability of coho adults averaged 40,540 fish, with the Youngs Bay commercial harvest accounting for 39%. With reduced ocean harvest impacts during 1994 and 1995, 92% of 51,640 coho in 1994 and 68% of 23,599 coho in 1995 (based on coded-wire-tag recoveries) were accounted for in the Youngs Bay commercial fishery for combined 2-week and overwinter acclimation net-pen releases. Overwinter net-pen acclimation coho accounted for 35,063 and 15,775 coho adults in 1994 and 1995 with 93% and 68% accountable in the Youngs Bay commercial harvest. Based on coded-wire-tag recoveries, less than 1% of the adults resulting from releases at Youngs Bay net pens strayed to hatcheries, while none were recovered on spawning ground surveys during 1991--95. The highest survival rates were observed for 1991 and 1992 brood overwinter coho released in early May. Time of release, not rearing strategy, appears to be the determining factor affecting survival in Youngs Bay.
Hirose, Paul S.
Task 5.1:Expand the Number of Faculty Working in Wind Energy: Wind Energy Supply Chain and Logistics
Wind as a source of energy has gained a significant amount of attention because it is free and green. Construction of a wind farm involves considerable investment, which includes the cost of turbines, nacelles, and towers as well as logistical costs such as transportation of oversized parts and installation costs such as crane-rental costs. The terrain effects at the project site exert considerable influence on the turbine assembly rate and the project duration, which increases the overall installation cost. For higher capacity wind turbines (>3MW), the rental cost of the cranes is significant. In this study, the impact of interest rate, sales price of electricity, terrain effects and availability of cranes on the duration of installation and payback period for the project is analyzed. Optimization of the logistic activities involved during the construction phase of a wind farm contributes to the reduction of the project duration and also increases electricity generation during the construction phase.
Janet M Twomey, PhD
Sea Lion applied for and received a grant from the Department of Energy (DOE) towards this end titled �??Energy Efficiency Development and Deployment in Indian Country�?�. The initial objectives of the Hooper Bay Energy Efficiency Feasibility Study were to demonstrate a 30% reduction in residential/commercial energy usage and identify the economic benefits of implementing energy efficiency measures to the Tribe through: (1) partnering with Whitney Construction and Solutions for Healthy Breathing in the training and hire of 2 local energy assessors to conduct energy audits of 9 representative housing models and 2 commercial units in the community. These homes are representative of 52 homes constructed across different eras. (2) partnering with Cold Climate Housing Research Center to document current electrical and heating energy consumption and analyze data for a final feasibility report (3) assessing the economics of electricity & heating fuel usage; (4) projecting energy savings or fossil fuel reduction by modeling of improvement scenarios and cost feasibility The following two objectives will be completed after the publication of this report: (5) the development of materials lists for energy efficiency improvements (6) identifying financing options for the follow-up energy efficiency implementation phase.
Optimizing Feedstock Logistics and Assessment of Hydrologic Impacts for Sustainable Bio-Energy Production
Rising world petroleum prices and global warming are contributing to interest in renewable energy sources, including energy produced from agricultural crops and waste sources of biomass. A network of small mobile pyrolysis units may be the most cost effective system to convert biomass from agricultural feedstocks to bio-crude oil. Mobile pyrolysis units could be moved to the feedstock production fields thereby greatly simplifying feedstock logistics. In the North Central (NC) region of the U.S., possible feedstocks are corn stover, energy sorghum, and switchgrass. A grid-based Geographic Information System (GIS) program was developed to identify optimum locations for mobile pyrolysis units based on feedstock availability in the NC region. Model builder was used to automate the GIS analysis. Network analysis was used to find the best route to move the mobile pyrolysis units to new locations and to identify the closest refinery to transport the bio-crude oil. To produce bioenergy from feedstocks, the removal of biomass from agricultural fields will impact the hydrology and sediment transport in rural watersheds. Therefore, the hydrologic effects of removing corn stover from corn production fields in Illinois (IL) were evaluated using the Soil Water Assessment Tool (SWAT). The SWAT model was calibrated and validated for streamflow and sediment yields in the Spoon River basin in IL using observed data from the USGS. The modeling results indicated that as residue removal rates increased, evapotranspiration (ET) and sediment yields increased, while streamflows decreased. Biochar is a carbon-based byproduct of pyrolysis. To ensure that the mobile pyrolysis system is economically and environmental sustainable, the biochar must be land applied to the feedstock production fields as a soil amendment. An assessment of hydrologic changes due to the land application of biochar was made using the SWAT model in the Spoon River basin and changes in soil properties due to incorporation of biochar into the soil obtained from laboratory experiments by Cook et al. (2012). Model simulations indicated that a biochar application rate of 128 Mg/ha decreased water yield, and sediment yield in surface runoff and increased soil moisture and ET.
Ha, Mi-Ae 1979-
Prudhoe Bay western peripheral development using three-dimensional seismic
The western periphery of the Prudhoe Bay field, known as the West End or Eileen area, is characterized by a relatively gentle southwestern regional dip cut by numerous normal faults with up to 500 ft of throw. These faults displace the Permian-Triassic reservoir sandstones against Jurassic shales. A detailed structural map was interpreted from three-dimensional seismic data acquired in 1984 and 1985. Three distinct and coherent trends of faulting are evident from the data: north-south, northwest-southeast, and east-west. These faults were aliased by the earlier two-dimensional data grid and could not be connected in a coherent manner consistent with suppositions of the stress directions. The added detail to the structural maps will allow development of narrow, oil-filled horst blocks and should prevent drilling of dry holes in narrow grabens as has occurred prior to the three-dimensional data acquisition. Seventy-two 80-ac wells and up to four horizontal gas injectors are planned for the area, with drilling commencing from new surface facilities in 1988. Upon the successful completion of a horizontal and an 88/sup 0/ highangle well from existing facilities, the utility and shortcomings of the data interpretations were illuminated. The high-angle well encountered only 40% of the prognosed oil column, which is believed to be a consequence of an unpredicted permafrost thickening. Thus, as with two-dimensional data, the uncertainty in the estimate of the velocity field is the dominant factor in estimating subsurface structure.
Guderjahn, C.G.
The Radio Frequency Identification enabled logistics process for supply chain event management from China to the United States via Hong Kong
This thesis reviews the current logistics processes and issues for container shipments in the supply chain. In particular, the problems associated with container shipments from China to the US, via the Hong Kong Port, ...
Han, Taehee
A Precision Measurement of the Neutrino Mixing Angle theta_13 using Reactor Antineutrinos at Daya Bay
A reactor-neutrino experiment, Daya Bay, has been proposed to determine the least-known neutrino mixing angle theta_13 using electron antineutrinos produced at the Daya Bay nuclear power complex in China. Daya Bay is an international collaboration with institutions from China, the United States, the Czech Republic, Hong Kong, Russia, and Taiwan. The experiment will use eight identical detectors deployed at three different locations optimized for monitoring the antineutrino rates from the six reactors and for detecting any rate deficit and spectral distortion near the first oscillation maximum. The overburden of the under ground experimental halls, connected with tunnels, ranges from about 250 to 900 meters-water-equivalent so that the cosmogenic background is small compared to the number of observed antineutrino events. Civil construction of tunnels and experimental facilities is planned to start in 2007, with detector construction beginning in 2008. The experiment will begin collecting data in 2010. By compa...
Guo, Xinheng
Energy Secretary Steven Chu to Travel to Bay Area to Highlight State of the
Bay Area to Highlight Bay Area to Highlight State of the Union Address, Commitment to Clean Energy Energy Secretary Steven Chu to Travel to Bay Area to Highlight State of the Union Address, Commitment to Clean Energy January 31, 2012 - 7:38pm Addthis Washington, D.C. - As part of the Energy Department's ongoing efforts to highlight President Obama's State of the Union address and discuss the Obama Administration's commitment to American energy resources and innovation, tomorrow, Wednesday, February 1, U.S. Energy Secretary Steven Chu will headline a groundbreaking ceremony for Lawrence Berkeley National Laboratory's new Computational Research and Theory Facility, a cutting-edge supercomputing facility. Secretary Chu will also host a State of the Union Town Hall and take questions from students and faculty
Microsoft Word - DM_VA-#126832-v3-Smart_Grid_Comments_--_DOE_--_Policy_and_Logistical_Challenges.DOC
UNITED STATES DEPARTMENT OF ENERGY Office of Electricity Delivery and Energy Reliability In the matter of: Smart Grid RFI: Addressing Policy and Logistical Challenges to Smart Grid Implementation 75 FR 57006 COMMENTS OF VERIZON AND VERIZON WIRELESS Michael Glover Of Counsel Edward Shakin William H. Johnson VERIZON 1320 North Courthouse Road Ninth Floor Arlington, Virginia 22201 (703) 351-3060 John T. Scott, III William D. Wallace VERIZON WIRELESS 1300 I Street N.W. Suite 400 West Washington, DC 20005 November 1, 2010 As the Department of Energy (DOE) correctly notes, Smart Grid technology that "better integrates information, communication, and intelligent control technology [] into the nation's electrical system" holds "significant promise."
Bay Controls & Ford Teaming Profile | ENERGY STAR Buildings & Plants
Bay Controls & Ford Teaming Profile Bay Controls & Ford Teaming Profile Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources Success stories
DOD's U.S. Pacific Command has partnered with the U.S. Department of Energy's (DOE) National Renewable Energy Laboratory (NREL) to assess opportunities for increasing energy security through renewable energy and energy efficiency in Hawaii installations. NREL selected Marine Corps Base Hawaii (MCBH), Kaneohe Bay to receive technical support for net zero energy assessment and planning funded through the Hawaii Clean Energy Initiative (HCEI). NREL performed a comprehensive assessment to appraise the potential of MCBH Kaneohe Bay to achieve net zero energy status through energy efficiency, renewable energy, and electric vehicle integration. This report summarizes the results of the assessment and provides energy recommendations.
Burman, K.; Kandt, A.; Lisell, L.; Booth, S.; Walker, A.; Roberts, J.; Falcey, J.
Analysis of the Pass Cavallo shipwreck assemblage, Matagorda Bay, Texas
A survey conducted in February of 1998 located an anomaly originally believed to be the remains of L'Aimable. L'Aimable was one of four ships utilized by Rene-Robert Cavelier, Sieur de La Salle, for his voyage to colonize the Gulf Coast in 1684. The anomaly, a wrecked vessel with a heavy iron signature, was located outside the entrance to the historic pass into Matagorda Bay, Texas. Artifacts were extracted from the wreck site to aid in the identification of the vessel, which was subsequently determined to be more recent in origin. A preliminary examination of the artifacts indicates that the shipwreck dates to the first half of the 19th century. The survey recovered over two hundred artifacts. The assemblage of artifacts includes over 80 lead shot, over 40 examples of brass firearm furniture, over 15 firearm fragments, several pieces of copper sheathing, and iron bar stock. Almost two-thirds of the material is associated with small arms. The majority of the identifiable firearms are military arms of three patterns: the British Short Land Pattern, the British India Pattern, and the 1757 Spanish musket. Historical research has determined that these arms were circulating in Texas, New Orleans, and Mexico, as early as 1815. The British Pattern arms were both purchased for the Mexican army in the 1820s, and used by the British Infantry in the Battle of New Orleans in 1815. The 1757 Spanish musket was used chiefly by Spanish expeditionary forces in North America in the late 18th century. Evidence garnered from the artifacts suggest that the firearms were shipboard cargo onboard a small, wood-hulled sailing vessel that wrecked between the years 1815 and 1845. Archival and historical research isolated nine wreck candidates for this period. Historical research and artifact analysis suggest the Hannah Elizabeth as the primary candidate for this wreck site. The Hannah Elizabeth was a small merchant schooner from New Orleans laden with a munitions cargo for Texas troops stationed at Goliad. The vessel wrecked at the entrance of the historic Pass Cavallo while evading capture from a Mexican brig-of-war in November of 1835.
Borgens, Amy Anne
Reducing Logistics Footprints and Replenishment Demands: Nano-engineered Silica Aerogels a Proven Method for Water Treatment
Rapid deployment and the use of objective force aggressively reduce logistic footprints and replenishment demands. Maneuver Sustainment requires that Future Combat Systems be equipped with water systems that are lightweight, have small footprints, and are highly adaptable to a variety of environments. Technologies employed in these settings must be able to meet these demands. Lawrence Livermore National Laboratory has designed and previously field tested nano-engineered materials for the treatment of water. These materials have been either based on silica aerogel materials or consist of composites of these aerogels with granular activated carbon (GAC). Recent tests have proven successful for the removal of contaminants including uranium, hexavalent chromium, and arsenic. Silica aerogels were evaluated for their ability to purify water that had been spiked with the nerve agent VX (O-ethyl S-(2-diisopropylaminoethyl) methylphosphonothiolate). These results demonstrated that silica aerogels were able to remove the VX from the supply water and were nearly 30 times more adsorbent than GAC. This performance could result in REDUCING CHANGEOUT FREQUENCY BY A FACTOR OF 30 or DECREASING the VOLUME of adsorbent BY A FACTOR OF 30; thereby significantly reducing logistic footprints and replenishment demands. The use of the nano-engineered Silica Aerogel/GAC composites would provide a water purification technology that meets the needs of Future Combat Systems.
Daily, W; Coleman, S; Love, A; Reynolds, J; O'Brien, K; Gammon, S
Bimodal Character of Cyclone Climatology in the Bay of Bengal Modulated by Monsoon Seasonal Cycle
The annual cycle of tropical cyclone (TC) frequency over the Bay of Bengal (BoB) exhibits a notable bimodal character, different from a single peak in other basins. The causes of this peculiar feature were investigated through the diagnosis of a ...
Zhi Li; Weidong Yu; Tim Li; V. S. N. Murty; Fredolin Tangang
Using hydrodynamic modeling for estimating flooding and water depths in grand bay, alabama
This paper presents a methodology for using hydrodynamic modeling to estimate inundation areas and water depths during a hurricane event. The Environmental Fluid Dynamic Code (EFDC) is used in this research. EFDC is one of the most commonly applied models ... Keywords: EFDC, flooding, grand bay, grid generation, hydrodynamics, inundation, modeling
Vladimir J. Alarcon; William H. McAnally
A Latent-and Sensible-Heat Polynya Model for the North Water, Northern Baffin Bay
The Pease latent-heat polynya model is coupled to a reduced-gravity, coastal upwelling model in order to simulate the formation and maintenance of the North Water (NOW), the Arctic's largest polynya, located in northern Beffin Bay. In this region,...
Lawrence A. Mysak; Fengting Huang
Storm-Induced Circulation in Lunenburg Bay of Nova Scotia: Observations and Numerical Simulations
An extreme weather event (Hurricane Juan) made landfall in Nova Scotia, Canada, in September 2003. The storm produced an 70-cm storm surge and 40 cm s?1 coastal currents in Lunenburg Bay, registered by a coastal observing system. A fine-...
Liang Wang; Jinyu Sheng; Alex E. Hay; Douglas J. Schillinger
Marsh Island (PortersvIlle Bay) restoratIon Project General Project DescriPtion
spill. Total estimated Offsets for the Marsh Island Project are 540 DSAYs. estiMated cost: Construction of the Marsh Island Project would cost approximately $11,280,000. (Estimated costs for some of the projectsMarsh Island (PortersvIlle Bay) restoratIon Project General Project DescriPtion The Marsh Island
Intro Pb Model Gibbs Simus Multi Bayes Gibbs Simus Change-point Detection in Astronomical Data
. The Poisson rate parameter varies as determined by the actual changes in brightness of the Gamma Ray Burst, Bordeaux, '05 #12;Intro Pb Model Gibbs Simus Multi Bayes Gibbs Simus Introduction BATSE module Burst And Transient Source Experiment The Compton -Ray Observatory N. Dobigeon, J.-Y. Tourneret, J.D. Scargle IEEE
Tourneret, Jean-Yves
Systems Performance Analyses of Alaska Wind-Diesel Projects; Toksook Bay, Alaska (Fact Sheet)
This fact sheet summarizes a systems performance analysis of the wind-diesel project in Toksook Bay, Alaska. Data provided for this project include community load data, average wind turbine output, average diesel plant output, thermal load data, average net capacity factor, optimal net capacity factor based on Alaska Energy Authority wind data, average net wind penetration, estimated fuel savings, and wind system availability.
Baring-Gould, I.
Remote monitoring of hypersaline environments in San Francisco Bay, CA, USA
As part of a historic remediation project, approximately 61�km2 of salt evaporation ponds in the southern portion of San Francisco Bay, CA (USA) are scheduled for restoration to natural tidal marsh habitat over the next several decades. We have ...
J. B. Dalton; L. J. Palmer-Moloney; D. Rogoff; C. Hlavka; C. Duncan
Evolution of the Monterey Bay Sea-Breeze Layer As Observed by Pulsed Doppler Lidar
As part of the Land/Sea Breeze Experiment (LASBEX) to study the sea breeze at Monterey Bay, the pulsed Doppler lidar of the NOAA/ERL Wave Propagation Laboratory performed vertical and nearly horizontal scans of the developing sea breeze on 12 ...
Robert M. Banta; Lisa D. Olivier; David H. Levinson
Recent ice loss from the Fleming and other glaciers, Wordie Bay, West Antarctic Peninsula
of phase aliasing caused by high rates of ice deformation. [6] Glacier grounding lines were derived fromRecent ice loss from the Fleming and other glaciers, Wordie Bay, West Antarctic Peninsula E. Rignot ice thickness data from 2002, reveal that the glaciers flowing into former Wordie Ice Shelf, West
Kansas, University of
Measuring Sin^22?_13 with the Daya Bay Nuclear Reactors
Angle \\theta_13 is one of the two unknown neutrino mixing parameters to be determined. Its value may determine the future trend of the neutrino physics. We propose to measure sin^22\\theta_13 with a sensitivity better than 0.01 (90% C.L) at the Daya Bay reactor power plant.
Yifang Wang
Instrumented Aircraft Observations of the Katabatic Wind Regime Near Terra Nova Bay
Two aircraft missions to sample the boundary layer dynamics associated with the intense katabatic wind regime at Terra Nova Bay, Antarctica were flown on successive days in early November 1987. Light winds averaging 5 m s?1 were monitored at the ...
Thomas R. Parish; David H. Bromwich
Barotropic and Baroclinic M2 Tides in the Monterey Bay Region
A high-resolution (250 m) primitive equation model is used to simulate the depth-averaged and baroclinic M2 tides in the Monterey Bay region. The model shows a high level of skill in comparisons with sea level observations. ADCP current ...
G. S. Carter
MAPPING OUR UNDERWATER MARINE RESOURCES The MapCoast and BayMap Partnerships
MAPPING OUR UNDERWATER MARINE RESOURCES The MapCoast and BayMap Partnerships BAYMAP: CHARTING communities and underwater archaeological sites in a readily accessible GIS format. An interdisciplinary team underwater resources, including bathymetry, habitat, geology, soils/ sediment, and archeological resources
Wang, Y.Q. "Yeqiao"
Reducing methylmercury accumulation in the food webs of San Francisco Bay and its local watersheds
San Francisco Bay (California, USA) and its local watersheds present an interesting case study in estuarine mercury (Hg) contamination. This review focuses on the most promising avenues for attempting to reduce methylmercury (MeHg) contamination in Bay Area aquatic food webs and identifying the scientific information that is most urgently needed to support these efforts. Concern for human exposure to MeHg in the region has led to advisories for consumption of sport fish. Striped bass from the Bay have the highest average Hg concentration measured for this species in USA estuaries, and this degree of contamination has been constant for the past 40 years. Similarly, largemouth bass in some Bay Area reservoirs have some of the highest Hg concentrations observed in the entire US. Bay Area wildlife, particularly birds, face potential impacts to reproduction based on Hg concentrations in the tissues of several Bay species. Source control of Hg is one of the primary possible approaches for reducing MeHg accumulation in Bay Area aquatic food webs. Recent findings (particularly Hg isotope measurements) indicate that the decades-long residence time of particle-associated Hg in the Bay is sufficient to allow significant conversion of even the insoluble forms of Hg into MeHg. Past inputs have been thoroughly mixed throughout this shallow and dynamic estuary. The large pool of Hg already present in the ecosystem dominates the fraction converted to MeHg and accumulating in the food web. Consequently, decreasing external Hg inputs can be expected to reduce MeHg in the food web, but it will likely take many decades to centuries before those reductions are achieved. Extensive efforts to reduce loads from the largest Hg mining source (the historic New Almaden mining district) are underway. Hg is spread widely across the urban landscape, but there are a number of key sources, source areas, and pathways that provide opportunities to capture larger quantities of Hg and reduce loads from urban runoff. Atmospheric deposition is a lower priority for source control in the Bay Area due to a combination of a lack of major local sources. Internal net production of MeHg is the dominant source of MeHg that enters the food web. Controlling internal net production is the second primary management approach, and has the potential to reduce food web MeHg in some habitats more effectively and within a much shorter time-frame. Controlling net MeHg production and accumulation in the food web of upstream reservoirs and ponds is very promising due to the many features of these ecosystems that can be manipulated. The most feasible control options in tidal marshes relate to the design of flow patterns and subhabitats in restoration projects. Options for controlling MeHg production in open Bay habitat are limited due primarily to the highly dispersed distribution of Hg throughout the ecosystem. Other changes in these habitats may also have a large influence on food web MeHg, including temperature changes due to global warming, sea level rise, food web alterations due to introduced species and other causes, and changes in sediment supply. Other options for reducing or mitigating exposure and risk include controlling bioaccumulation, cleanup of contaminated sites, and reducing other factors (e.g., habitat availability) that limit at-risk wildlife populations.
Davis, J.A., E-mail: firstname.lastname@example.com [San Francisco Estuary Institute, 4911 Central Avenue, Richmond, CA 94804 (United States); Looker, R.E. [San Francisco Bay Regional Water Quality Control Board, 1515 Clay Street, Suite 1400, Oakland, CA 94612 (United States)] [San Francisco Bay Regional Water Quality Control Board, 1515 Clay Street, Suite 1400, Oakland, CA 94612 (United States); Yee, D. [San Francisco Estuary Institute, 4911 Central Avenue, Richmond, CA 94804 (United States)] [San Francisco Estuary Institute, 4911 Central Avenue, Richmond, CA 94804 (United States); Marvin-Di Pasquale, M. [U.S. Geological Survey, Water Resources Division/MS 480, 345 Middlefield Road, Menlo Park, CA 94025 (United States)] [U.S. Geological Survey, Water Resources Division/MS 480, 345 Middlefield Road, Menlo Park, CA 94025 (United States); Grenier, J.L. [San Francisco Estuary Institute, 4911 Central Avenue, Richmond, CA 94804 (United States)] [San Francisco Estuary Institute, 4911 Central Avenue, Richmond, CA 94804 (United States); Austin, C.M. [San Francisco Bay Regional Water Quality Control Board, 1515 Clay Street, Suite 1400, Oakland, CA 94612 (United States)] [San Francisco Bay Regional Water Quality Control Board, 1515 Clay Street, Suite 1400, Oakland, CA 94612 (United States); McKee, L.J.; Greenfield, B.K. [San Francisco Estuary Institute, 4911 Central Avenue, Richmond, CA 94804 (United States)] [San Francisco Estuary Institute, 4911 Central Avenue, Richmond, CA 94804 (United States); Brodberg, R. [California Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, 1001 I Street, Sacramento, CA 95812 (United States)] [California Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, 1001 I Street, Sacramento, CA 95812 (United States); Blum, J.D. [Department of Geological Sciences, University of Michigan, 1100 North University Avenue, Ann Arbor, MI 48109 (United States)] [Department of Geological Sciences, University of Michigan, 1100 North University Avenue, Ann Arbor, MI 48109 (United States)
Targeting Net Zero Energy at Marine Corps Base Hawaii, Kaneohe Bay: Preprint
This paper summarizes the results of an NREL assessment of Marine Corps Base Hawaii (MCBH), Kaneohe Bay to appraise the potential of achieving net zero energy status through energy efficiency, renewable energy, and hydrogen vehicle integration. In 2008, the U.S. Department of Defense's U.S. Pacific Command partnered with the U.S. Department of Energy's (DOE's) National Renewable Energy Laboratory (NREL) to assess opportunities for increasing energy security through renewable energy and energy efficiency at Hawaii military installations. DOE selected Marine Corps Base Hawaii (MCBH), Kaneohe Bay, to receive technical support for net zero energy assessment and planning funded through the Hawaii Clean Energy Initiative (HCEI). NREL performed a comprehensive assessment to appraise the potential of MCBH Kaneohe Bay to achieve net zero energy status through energy efficiency, renewable energy, and hydrogen vehicle integration. This paper summarizes the results of the assessment and provides energy recommendations. The analysis shows that MCBH Kaneohe Bay has the potential to make significant progress toward becoming a net zero installation. Wind, solar photovoltaics, solar hot water, and hydrogen production were assessed, as well as energy efficiency technologies. Deploying wind turbines is the most cost-effective energy production measure. If the identified energy projects and savings measures are implemented, the base will achieve a 96% site Btu reduction and a 99% source Btu reduction. Using excess wind and solar energy to produce hydrogen for a fleet and fuel cells could significantly reduce energy use and potentially bring MCBH Kaneohe Bay to net zero. Further analysis with an environmental impact and interconnection study will need to be completed. By achieving net zero status, the base will set an example for other military installations, provide environmental benefits, reduce costs, increase energy security, and exceed its energy goals and mandates.
Burman, K.; Kandt, A.; Lisell, L.; Booth, S.
Some logistical considerations in designing a system of deep boreholes for disposal of high-level radioactive waste.
Deep boreholes could be a relatively inexpensive, safe, and rapidly deployable strategy for disposing Americas nuclear waste. To study this approach, Sandia invested in a three year LDRD project entitled %E2%80%9CRadionuclide Transport from Deep Boreholes.%E2%80%9D In the first two years, the borehole reference design and backfill analysis were completed and the supporting modeling of borehole temperature and fluid transport profiles were done. In the third year, some of the logistics of implementing a deep borehole waste disposal system were considered. This report describes what was learned in the third year of the study and draws some conclusions about the potential bottlenecks of system implementation.
Gray, Genetha Anne; Brady, Patrick Vane [Sandia National Laboratories, Albuquerque, NM; Arnold, Bill Walter [Sandia National Laboratories, Albuquerque, NM
Double Precision Computation of the Logistic Map Depends on Computational Modes of the Floating-point Processing Unit
Today's most popular CPU can operate in two different computational modes for double precision computations. This fact is not very widely recognized among scientific computer users. The present paper reports the differences the modes bring about using the most thoroughly studied system in chaos theory, the logistic map. Distinct virtual periods due to finite precision come about depending on the computational modes for the parameter value corresponding to fully developed chaos. For other chaotic regime various virtual periods emerge depending on the computational modes and the mathematical expressions of the map. Differences in the bifurcation diagrams due to the modes and the expressions are surveyed exhaustively. A quantity to measure those differences is defined and calculated.
Michiro Yabuki; Takashi Tsuchiya
Trace metal contamination of waters, sediments, and organisms of the Swan Lake area of Galveston Bay
Swan Lake is a sub-bay of the Galveston Bay system. The area received runoff from a tin smelter via the Wah Chang Ditch which ran through it in the past but the ditch is now cut off by a hurricane protection levee. An industrial waste disposal facility (Gulf Coast Waste Disposal Authority) is located north of the Wah Chang Ditch. Consequently there have been concerns about possible metal contamination in this area. I determined trace metal concentrations in water, sediments, and organisms (oyster, mussel, snail, crab, fish, shrimp, and spartina) in the area. Sediments and organisms were analyzed for total Ag, Al, As, Cd, Cu, Fe, Hg, Mn, Ni, Pb, Se, Sn, and Zn. Water samples were analyzed for Cd, Cu, Fe, Mn, and Sn. The variabilities and geographic trends in sediment trace metals indicated that waste disposal and airborne inputs from facilities located at the Tex Tin site were likely sources for metal pollution found in the sediments. Sediments in the study area showed elevated trace metals relative to Galveston Bay and other Texas bay sediments. Three different samplings of the Wah Chang Ditch showed no temporal patterns in metal distribution in the sediments. Lead especially was uniformly high on the three different trips, respectively averaging 1250 (Trip 1), 893 (Trip H), and 1350 ppm (Trip V). Metal enrichments at depth in the sediment column indicated that the Swan Lake area has recently received less input of metal contaminated sediment than in the past. Anthropogenic inputs did not greatly influence the natural concentrations of Fe, Al, and Ni in sediments either in the past or at present. Most organisms showed very small spatial variations. However, the oysters in Swan Lake are enriched in most metals relative to Galveston Bay and other U. S. Gulf of Mexico oysters. The mussels in this study do not reflect the unusually elevated environmental metal concentration in the sediments from which they were taken. Iron and Pb concentrations in oysters seemed to be directly related to sediment concentrations at each location. Oysters show higher concentrations in most metals than those in mussels. The Zn level was II 3 times higher in oysters. For organisms collected from the Swan Lake area trace metal concentrations were generally in the order oysters > snail > crab > shrimp > fish. Metal concentrations in Wah Chang Ditch water were very elevated relative to those of the Brazos River and Galveston Bay and closely reflect those in sediments of the Wah Chang Ditch.
Park, Junesoo
Application of the Weather Research and Forecasting Model for Air Quality Modeling in the San Francisco Bay Area
The Weather Research and Forecasting (WRF) model is evaluated by conducting various sensitivity experiments over central California including the San Francisco Bay Area (SFBA), with the goal of establishing a WRF model configuration to be used by ...
Raphael E. Rogers; Aijun Deng; David R. Stauffer; Brian J. Gaudet; Yiqin Jia; Su-Tzai Soong; Saffet Tanrikulu
The effect of anthropogenic development on sediment loading to bays on St. John, U.S. Virgin Islands
In order to assess the impact of anthropogenic development on sediment delivery rates to bays on St. John, U.S.V.I., I developed a sediment loading prediction model. Based on the modified universal soil loss equation, this ...
McCreery, Helen F
The Weather Research and Forecasting (WRF) model is evaluated by conducting various sensitivity experiments over central California (CA) including the San Francisco Bay Area (SFBA), with the goal of establishing a WRF model configuration to be ...
Wind, sea ice, inertial oscillations and upper ocean mixing in Marguerite Bay, Western Antarctic Peninsula : observations and modeling
Two years of moored oceanographic and automatic weather station data which span the winter ice seasons of 2001-2003 within Marguerite Bay on the western Antarctic Peninsula (wAP) shelf were collected as part of the Southern ...
Hyatt, Jason
Aircraft Regional-Scale Flux Measurements over Complex Landscapes of Mangroves, Desert, and Marine Ecosystems of Magdalena Bay, Mexico
Natural ecosystems are rarely structurally simple or functionally homogeneous. This is true for the complex coastal region of Magdalena Bay, Baja California Sur, Mexico, where the spatial variability in ecosystem fluxes from the Pacific coastal ...
Rommel C. Zulueta; Walter C. Oechel; Joseph G. Verfaillie; Steven J. Hastings; Beniamino Gioli; William T. Lawrence; Kyaw Tha Paw U
Air Pollution Impacts of Shifting San Pedro Bay Ports Freight from Truck to Rail in Southern California
Angeles. San Pedro Bay Ports Rail study update. 7. The Portnear-dock and off-dock rail yard locations. ACKNOWLEDGEMENTSThe Port of Long Beach. Rail Master Planning study. 2002.
You, Soyoung Iris; Lee, Gunwoo; Ritchie, Stephen G.; Saphores, Jean-Daniel; Sangkapichai, Mana; Ayala, Roberto
Moving into the future with James Bay: Laforge-1 meets the challenges
Hydro-Quebec is commissioning the final unit of its 840-MW Laforge-1 hydropower facility. Faced with substantial logistical, technical, and environmental challenges, project managers have relied on extended and detailed planning, aggressive project management, and creativity from contractors to bring the giant project on-line within budget and more than a year ahead of schedule.
Rancourt, M.; Parent, L.
The boxer, the wrestler, and the coin flip: A paradox of Bayesian inference, robust Bayes, and belief functions
Bayesian inference requires all unknowns to be represented by probability distributions, which awkwardly implies that the probability of an event for which we are completely ignorant (e.g., that the world�s greatest boxer would defeat the world�s greatest wrestler) must be assigned a particular numerical value such as 1/2, as if it were known as precisely as the probability of a truly random event (e.g., a coin flip). Robust Bayes and belief functions are two methods that have been proposed to distinguish ignorance and randomness. In robust Bayes, a parameter can be restricted to a range, but without a prior distribution, yielding a range of potential posterior inferences. In belief functions (also known as the Dempster-Shafer theory), probability mass can be assigned to subsets of parameter space, so that randomness is represented by the probability distribution and uncertainty is represented by large subsets, within which the model does not attempt to assign probabilities. Through a simple example involving a coin flip and a boxing/wrestling match, we illustrate difficulties with pure Bayes, robust Bayes, and belief functions. In short: pure Bayes does not distinguish ignorance and randomness; robust Bayes allows ignorance to spread too broadly, and belief functions inappropriately collapse to simple Bayesian models.
Andrew Gelman
MHK Projects/Ocean Energy Galway Bay IE | Open Energy Information
Galway Bay IE Galway Bay IE < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":53.1879,"lon":-9.18125,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}
FEMP ESPC Success Story - U.S. Naval Station, Guantanamo Bay, Cuba
a m a m ESPC Success Stories Environmental Stewardship and Cost Savings These photographs chronicle the installation of the wind turbines at John Paul Jones Hill, Guantanamo Bay. The four wind turbine towers are about 185 feet high. The blade lengths are 90 feet. The top of the blades are about 275 feet off the g round. The blades rotate at a maximum of 22 RPM, or a rotation every three seconds. This translates to a blade tip speed of 140 mph. During construction there were as many as 20 workers on the project. However, operating the wind turbines will only take one part-time staff-person who will check on them daily. Photos courtesy of: Jeffrey M. Johnston, Public Works Officer, Guantanamo Bay; Paul DelSignore, NFESC; Daniel Ingold, NORESCO. U.S. NAVAL STATION
MHK Projects/OpenHydro Bay of Fundy Nova Scotia CA | Open Energy
Bay of Fundy Nova Scotia CA Bay of Fundy Nova Scotia CA < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":44.7728,"lon":-66.3096,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}
MHK Projects/Coos Bay OPT Wave Park | Open Energy Information
Coos Bay OPT Wave Park Coos Bay OPT Wave Park < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.3664,"lon":-124.218,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}
Targeting Net Zero Energy at Targeting Net Zero Energy at Marine Corps Base Kaneohe Bay, Hawaii: Assessment and Recommendations K. Burman, A. Kandt, L. Lisell, S. Booth, A. Walker, J. Roberts and J. Falcey Technical Report NREL/ TP-7A40-52897 November 2011 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 Targeting Net Zero Energy at Marine Corps Base Kaneohe Bay, Hawaii: Assessment and Recommendations K. Burman, A. Kandt, L. Lisell, S. Booth, A. Walker, J. Roberts and J. Falcey Prepared under Task No. IDHW.9180
California South/West Bay Area Regional Middle School Science Bowl
California South/West California South/West Bay Area Regional Middle School Science Bowl National Science Bowl® (NSB) NSB Home About High School Middle School Middle School Students Middle School Coaches Middle School Regionals Middle School Rules, Forms, and Resources Attending National Event Volunteers 2013 Competition Results News Media WDTS Home Contact Information National Science Bowl® U.S. Department of Energy SC-27/ Forrestal Building 1000 Independence Ave., SW Washington, DC 20585 P: 202-586-6702 E: firstname.lastname@example.com California Regions California South/West Bay Area Regional Middle School Science Bowl Print Text Size: A A A RSS Feeds FeedbackShare Page Regional Coordinator Information Name: Ray Ng Email: firstname.lastname@example.com Regional Event Information Date: Saturday, March 8, 2014
MHK Projects/Kachemak Bay Tidal Energy Project | Open Energy Information
Kachemak Bay Tidal Energy Project Kachemak Bay Tidal Energy Project < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":60.3378,"lon":-151.875,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}
MHK Projects/General Sullivan and Little Bay BRI | Open Energy Information
General Sullivan and Little Bay BRI General Sullivan and Little Bay BRI < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.1055,"lon":-70.7912,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}
MHK Projects/San Francisco Bay Tidal Energy Project | Open Energy
Francisco Bay Tidal Energy Project Francisco Bay Tidal Energy Project < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.691,"lon":-122.311,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}
Selby-on-the-Bay, Maryland: Energy Resources | Open Energy Information
Selby-on-the-Bay, Maryland: Energy Resources Selby-on-the-Bay, Maryland: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 38.9162245°, -76.52246° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.9162245,"lon":-76.52246,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
Green Bay TEC Meeting -- Tribal Group Summary 10-26-06
Green Bay, Wisconsin - September 14, 2006 Green Bay, Wisconsin - September 14, 2006 Session Chaired by: Jay Jones, DOE, Office of Civilian Radioactive Waste Management, OCRWM Regular Members in Attendance: Sandra Alexander (Confederated Tribes of the Umatilla Indian Reservation, CTUIR); Kenny Anderson, Las Vegas Paiute Tribe; Richard Arnold, Las Vegas Indian Center/Pahrump Paiute Tribe); Kevin Tafoya, Santa Clara Pueblo; Christina Nelson, National Conference of State Legislatures; Ed Gonzales, ELG Engineering/Pueblo de San Ildefonso; Judith Holm, OCRWM; Marsha Keister, Idaho National Laboratory; Joe Kennedy, Timbisha Shoshone Tribe; Daniel King, Oneida Nation of Wisconsin; Sue Loudner, Pueblo of Acoma; Bob Lupton, DOE Yucca Mountain Project; Corinne Macaluso, OCRWM; Kevin Mariano, Pueblo of Acoma; Calvin Meyers, Moapa
Fishery Resources Theodore R. Merrell, Jr. Northwest Fisheries Center, Auke Bay Fisheries
Fishery Resources Theodore R. Merrell, Jr. Fishery Resources Theodore R. Merrell, Jr. Northwest Fisheries Center, Auke Bay Fisheries of the ~ a b o r a t o r y , National ~ a r i n e Fisheries Sewice, National Ocear~ic and Atmospl~eric Administration, Vestern Aleutians Auke Bay, Alaska Tlte fishery resources in the zuestent Aleutian Islnnds are diverse, nbtrnrlant, nrid heavily exploited, primarily by Japanese nnd Soviet fishermen. Seven groups make u p the bulk of the crcrrent catch: snlmo~t (sockeye, chum, and pink), king crabs, Pacific hnlibut, Pncific ocean perch, sablefish, wnlleye pollock, mid Pacific cod. Three species of whales (syenn, fin, and sei) are also caplared. Tlre marine enuironmerrt is highly prodirctiue and is relaliuely trn- nffecterl by ,,ton's activities otlter f h a i ~ fishing. Prospects for co,ttinaed or espanded fishery ltnruesls
MHK Projects/Willapa Bay Tidal Power Project | Open Energy Information
Willapa Bay Tidal Power Project Willapa Bay Tidal Power Project < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":46.7161,"lon":-124.038,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}
EIA Report 8/10/06 - Alaska's Prudhoe Bay Crude Oil Pipeline Shutdown
Gasoline and Diesel Fuel Update (EIA)
Alaska Prudhoe Bay Crude Oil Shut-in Alaska Prudhoe Bay Crude Oil Shut-in Facts and Impacts on the U.S. Oil Markets As of Thursday, August 10, 10:00 am Background on Alaska Crude Production and Transport Alaska ranks second, after Texas, among the States in crude oil reserves. On December 31, 2004, Alaska's proved reserves totaled 4,327 million barrels. Although Alaska's production declined from 2 million barrels per day (bbl/d) in 1988 to 864,000 bbl/d in 2005, it is still the second largest oil producing State when Federal offshore production is excluded. Alaskan Production Graph of US Crude Oil Production figure data The Trans-Alaska Pipeline Systems (TAPS) connects the North Slope oil fields with the Port of Valdez in southern Alaska. From Valdez, crude oil is shipped primarily to refineries located on the U.S. West Coast.
MHK Projects/Makah Bay Offshore Wave Pilot Project | Open Energy
Makah Bay Offshore Wave Pilot Project Makah Bay Offshore Wave Pilot Project < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":48.3238,"lon":-124.682,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}
The Daya Bay Antineutrino Detector Filling System and Liquid Mass Measurement
The Daya Bay Reactor Neutrino Experiment has measured the neutrino mixing angle \\theta_{13} to world-leading precision. The experiment uses eight antineutrino detectors filled with 20-tons of gadolinium-doped liquid scintillator to detect antineutrinos emitted from the Daya Bay nuclear power plant through the inverse beta decay reaction. The precision measurement of sin^{2}2\\theta_{13} relies on the relative antineutrino interaction rates between detectors at near (400 m) and far (roughly 1.8 km) distances from the nuclear reactors. The measured interaction rate in each detector is directly proportional to the number of protons in the liquid scintillator target. A precision detector filling system was developed to simultaneously fill the three liquid zones of the antineutrino detectors and measure the relative target mass between detectors to <0.02%. This paper describes the design, operation, and performance of the system and the resulting precision measurement of the detectors' target liquid masses.
H. R. Band; J. J. Cherwinka; E. Draeger; K. M. Heeger; P. Hinrichs; C. A. Lewis; H. Mattison; M. C. McFarlane; D. M. Webber; D. Wenman; W. Wang; T. Wise; Q. Xiao
MHK Projects/Minas Basin Bay of Fundy Commercial Scale Demonstration | Open
Minas Basin Bay of Fundy Commercial Scale Demonstration Minas Basin Bay of Fundy Commercial Scale Demonstration < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":45.3658,"lon":-64.4294,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}
Successful Application of Heat Pumps to a DHC System in the Tokyo Bay Area
The Harumi-Island District Heating & Cooling (DHC), which is located in the Tokyo Bay area, introduced the heat pump and thermal storage system with the aim of achieving minimum energy consumption, minimum environmental load, and maximum economical efficiency. It started operating in 2001, achieving high efficiency and a large amount of reduction of greenhouse gas emission, as well as low heat-charge. The system performance was verified by the continued commissioning of the system.
Yanagihara, R.; Okagaki, A.
Observations of Fallout from the Fukushima Reactor Accident in San Francisco Bay Area Rainwater
We have observed fallout from the recent Fukushima Dai-ichi reactor accident in samples of rainwater collected in the San Francisco Bay area. Gamma ray spectra measured from these samples show clear evidence of fission products - 131,132I, 132Te, and 134,137Cs. The activity levels we have measured for these isotopes are very low and pose no health risk to the public.
Norman, Eric B; Chodash, Perry A
We have observed fallout from the recent Fukushima Dai-ichi reactor accident in samples of rainwater collected in the San Francisco Bay area. Gamma ray spectra measured from these samples show clear evidence of fission products � 131,132 I, 132 Te, and 134,137 Cs. The activity levels we have measured for these isotopes are very low and pose no health risk to the public.
Eric B. Norman; Christopher T. Angell; Perry A. Chodash
Feedstock Logistics of a Mobile Pyrolysis System and Assessment of Soil Loss Due to Biomass Removal for Bioenergy Production
The purpose of this study was to assess feedstock logistics for a mobile pyrolysis system and to quantify the amount of soil loss caused by harvesting agricultural feedstocks for bioenergy production. The analysis of feedstock logistics was conducted using ArcGIS with the Network Analyst extension and model builder. A square grid methodology was used to determine biomass availability of corn stover and bioenergy sorghum in Texas. The SWAT model was used to quantify soil erosion losses in surface runoff caused by sorghum residue removal for bioenergy production in the Oso Creek Watershed in Nueces County. The model simulated the removal of 25, 50, 75, and 100 percent residue removal. The WEPS model was used to quantify wind erosion soil loss caused by corn stover removal in Dallam County. Nine simulations were run estimating soil loss for corn stover removal rates of 0 percent to 50 percent. The results of the SWAT and WEPS analyses were compared to the NRCS tolerable soil loss limit of 5 tons/acre/year for both study areas. The GIS analysis determined the optimum route distances between mobile unit sites were 2.07 to 58.02 km for corn and 1.95 to 60.36 km for sorghum. The optimum routes from the mobile pyrolysis sites and the closest refineries were 49.50 to 187.18 km for corn and 7.00 to 220.11 km for sorghum. These results were used as input to a separate bioenergy economic model. The SWAT analysis found that maximum soil loss (1.24 tons/acre) occurred during the final year of the simulation where 100 percent of the sorghum residue was removed. The WEPS analysis determined that at 30 percent removal the amount of soil loss starts to increase exponentially with increasing residue removal and exceeds the tolerable soil loss limit. Limited harvesting of biomass for bioenergy production will be required to protect crop and soil productivity ensuring a sustainable biomass source.
Bumguardner, Marisa
Bay Ridge Gardens - Mixed-Humid Affordable Multifamily Housing Deep Energy Retrofit
Under this project, Newport Partners (as part of the BA-PIRC research team) evaluated the installation, measured performance, and cost-effectiveness of efficiency upgrade measures for a tenant-in-place DER at the Bay Ridge multifamily (MF) development in Annapolis, Maryland. The design and construction phase of the Bay Ridge project was completed in August 2012. This report summarizes system commissioning, short-term test results, utility bill data analysis, and analysis of real-time data collected over a one-year period after the retrofit was complete. The Bay Ridge project is comprised of a 'base scope' retrofit which was estimated to achieve a 30%+ savings (relative to pre-retrofit) on 186 apartments, and a 'DER scope' which was estimated to achieve 50% savings (relative to pre-retrofit) on a 12-unit building. The base scope was applied to the entire apartment complex, except for one 12-unit building which underwent the DER scope. A wide range of efficiency measures was applied to pursue this savings target for the DER building, including improvements/replacements of mechanical equipment and distribution systems, appliances, lighting and lighting controls, the building envelope, hot water conservation measures, and resident education. The results of this research build upon the current body of knowledge of multifamily retrofits. Towards this end, the research team has collected and generated data on the selection of measures, their estimated performance, their measured performance, and risk factors and their impact on potential measures.
Lyons, J.; Moore, M.; Thompson, M.
Determination of benzo(a)pyrene, hexachlorobenzene and pentachlorophenol in oysters from Galveston Bay, Texas. [None
Intensive development of industrial plants located along the Houston Ship Channel is a major potential source of refractory organic contaminants to the Galveston Bay estuarine system. Petroleum production and shipping also contribute extensively to the pollutant load of the Bay. For example, previous workers have reported that oyster samples collected at the lower end of the Houston Ship Channel, particularly Morgan's Point, consistently revealed high levels (130 to 240 ppM) of petroleum hydrocarbons. As bivalves have been suggested as potentially valuable sentinel organisms for indicating levels of pollutants in coastal marine waters, this study was undertaken to analyze oysters from Galveston Bay for selected pollutants. Three compounds, each representing a particular class of organic pollutant, were selected for determination in oysters (Crassostrea virginica) collected near Morgan's Point. These were benzo(a)pyrene (polycyclic aromatic hydrocarbon), hexachlorobenzene (polycholoroaromatic hydrocarbon), and pentachlorophenol (chlorinated phenol). These compounds were selected because of their large annual production, patterns of use and disposal which favor their entry into the oceans, high toxicity, and persistence in the environment.
Murray, H.E.; Neff, G.S.; Hrung, Y.; Giam, C.S.
Systematic method for the condition assessment of central heating plants in Air Force Logistics Command. Master's thesis
Air Force Logistics Command (AFLC), facing decreasing funds and aging utility systems, needed a method to objectively rate its central heating plants. Such a rating system would be used to compare heating plants throughout the command to identify potential problem areas and prioritize major repair projects. This thesis used a Delphi questionnaire to gather opinions from heating plant experts in order to identify and prioritize components considered most critical to overall plant operation. In addition, the experts suggested measurements which could be used to evaluate component conditions. By combining expert opinions and reading from technical literature, component model rating schemes were developed for AFLC's steam and high temperature hot water plants. Based on measurements and observations of critical components in the plant, a score between 0 and 100 is assigned to each component (for example, condensate piping, deaerator, etc.), each plant subsystem (distribution system, water treatment system, etc.), and to the plant as a whole. These component model rating schemes and the resultant overall condition index scores will enable AFLC to focus their management attention and allocate needed resources to the plants in greatest need of repair.
Starmack, G.J.
Education Program for Improved Water Quality in Copano Bay Final Report
The Copano Bay watershed covers approximately 1.4 million acres encompassing portions of Karnes, Bee, Goliad, Refugio, San Patricio and Aransas counties. Copano Bay and its main tributaries, the Mission and Aransas rivers, were placed on the Texas Commission on Environmental Quality (TCEQ) 303(d) list in 1998 due to levels of bacteria that exceed water quality standards established to protect oyster waters use. A Total Maximum Daily Load (TMDL) program was initiated in September 2003 to identify and assess sources of these bacteria. The Center for Research in Water Resources at the University of Texas at Austin (UT CRWR) was funded by TCEQ to conduct computer-based modeling to determine the bacterial loading and reductions necessary to attain water quality standards. Subsequently Texas A&M University-Corpus Christi (TAMU-CC) conducted bacterial source tracking (BST) with funding from Texas General Land Office (TGLO) and the Coastal Bend Bays and Estuaries Program (CBBEP) to determine actual sources of bacteria. Due to the findings of the initial efforts of the TMDL and concerns voiced by stakeholders in the watershed, Texas AgriLife Extension Service was awarded a Clean Water Act � 319(h) Nonpoint Source Grant from the Texas State Soil and Water Conservation Board (TSSWCB) and the U.S. Environmental Protection Agency. The overall goal of this project was to improve water quality in Copano Bay and its tributaries by increasing awareness of water quality issues throughout the watershed. This increased awareness was to be accomplished by providing education and demonstrations for land and livestock owners in the watershed on best management practices (BMPs) to decrease or prevent bacteria from entering waterways. Through creation of a project website, 52 educational programs, and nine one-on-one consultations over the span of the project, we have reached 5,408 residents in and around the Copano Bay watershed. Additionally, through this project all data collected for the initial TMDL efforts was re-evaluated and findings were presented in the �Task 2 Report.� Project members developed a curriculum for horse owners, �A Guide to Good Horsekeeping� that addressed BMPs specific to horse operations. Land and livestock owners who had already implemented BMPs or were interested in implementing BMPs were given a participation certificate.
Berthold, A.; Moench, E.; Wagner, K.; Paschal, J.
Predicting the behavior of nearshore feeder berms in the vicinity of Morro Bay, California
Being able to predict the final disposition of dredged material mounds is important in the planning of dredging operations. A computerized mathematical model, based on the sediment movement equations of Ackers and White, has been developed by the US Army Corps of Engineers. The model, called Long Term FATE (LTFATE), is a useful tool for making such predictions. The primary objective of this study is to compare the output from LTFATE with the actual movement of dredged material placement mounds placed in the vicinity of Morro Bay, CA in 1990. The secondary objective is to determine a mound shape that would provide the greatest benefit as a feeder berm, causing accretion on the nearby beach. The channel to the harbor at Morro Bay must be dredged on a regular basis, and the dredged material has historically been placed in a high-energy, nearshore area approximately 3 km (1.9 m) from the channel, and 200 m (650 ft) offshore of the MLW line. LTFATE was calibrated by being applied to two geometrically regularly shaped mounds: a cone, 200 m (660 ft) in diameter, and a log-shaped berm, 200 m (660 ft) x 400 m (1310 ft). These mounds were placed on a flat seabed. The model inputs were environmental variables measured during a study at Morro Bay in 1990. The Advanced Ocean Circulation Model ADCIRC was used to generate the wave heights and water levels. The model was then applied to the bathymetry of the mounds placed at Morro Bay, and the output compared to that measured at the site at the end of a five-month study. The mound movement predicted by the model differs from that shown by the final bathymetric study at Morro Bay, both in change of mound height and displacement of mound center of mass. Several reasons for these differences are given in the study. It is also shown that of the three mound configurations, for a given set of parameters, the log-shaped berm has the greatest horizontal displacement, indicating that if placed normal to the prevailing current and the shoreline, it would provide the greatest amount of sediment to accrete an adjacent beach.
Simon, Peter Arthur
Gifi goes Logistic
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Jan de Leeuw
Examiner Training Logistics FAQs
... the three area airports, and the Shady Grove Metro Station (the subway ... during the training course, and one evening reception free of charge. ...
Standards Working Groups - Logistics
... group is to define practices and test methods related to the overall deployment procedures and constraints in place for emergency response. ...
Bayesian Logistic Regression with Jaro-Winkler String Comparator Scores Provides Sizable Improvement in Probabilistic Record Matching
Record matching is a fundamental and ubiquitous part of today?s society. Anything from typing in a password in order to access your email to connecting existing health records in California with new health records in New York requires matching records together. In general, there are two types of record matching algorithms: deterministic, a more rules-based approach, and probabilistic, a model-based approach. Both types have their advantages and disadvantages. If the amount of data is relatively small, deterministic algorithms yield very high success rates. However, the number of common mistakes, and subsequent rules, becomes astronomically large as the sizes of the datasets increase. This leads to a highly labor-intensive process updating and maintaining the matching algorithm. On the other hand, probabilistic record matching implements a mathematical model that can take into account keying mistakes, does not require as much maintenance and over- head, and provides a probability that two particular entities should be linked. At the same time, as a model, assumptions need to be met, fitness has to be assessed, and predictions can be incorrect. Regardless of the type of algorithm, nearly all utilize a 0/1 field-matching structure, including the Fellegi-Sunter algorithm from 1969. That is to say that either the fields match entirely, or they do not match at all. As a result, typographical errors can get lost and false negatives can result. My research has yielded that using Jaro-Winkler string comparator scores as predictors to a Bayesian logistic regression model in lieu of a restrictive binary structure yields marginal improvement over current methodologies.
Jann, Dominic 1983-
Final Project Report, Bristol Bay Native Corporation Wind and Hydroelectric Feasibility Study
The Bristol Bay Native Corporation (BBNC) grant project focused on conducting nine wind resource studies in eight communities in the Bristol Bay region of southwest Alaska and was administered as a collaborative effort between BBNC, the Alaska Energy Authority, Alaska Village Electric Cooperative, Nushagak Electric Cooperative (NEC), Naknek Electric Association (NEA), and several individual village utilities in the region. BBNC�s technical contact and the project manager for this study was Douglas Vaught, P.E., of V3 Energy, LLC, in Eagle River, Alaska. The Bristol Bay region of Alaska is comprised of 29 communities ranging in size from the hub community of Dillingham with a population of approximately 3,000 people, to a few Native Alaska villages that have a few tens of residents. Communities chosen for inclusion in this project were Dillingham, Naknek, Togiak, New Stuyahok, Kokhanok, Perryville, Clark�s Point, and Koliganek. Selection criteria for conduction of wind resource assessments in these communities included population and commercial activity, utility interest, predicted Class 3 or better wind resource, absence of other sources of renewable energy, and geographical coverage of the region. Beginning with the first meteorological tower installation in October 2003, wind resource studies were completed at all sites with at least one year, and as much as two and a half years, of data. In general, the study results are very promising for wind power development in the region with Class 6 winds measured in Kokhanok; Class 4 winds in New Stuyahok, Clark�s Point, and Koliganek; Class 3 winds in Dillingham, Naknek, and Togiak; and Class 2 winds in Perryville. Measured annual average wind speeds and wind power densities at the 30 meter level varied from a high of 7.87 meters per second and 702 watts per square meter in Kokhanok (Class 6 winds), to a low of 4.60 meters per second and 185 watts per square meter in Perryville (Class 2 winds).
Vaught, Douglas J.
Results of the first two seasons of underwater surveys at Episkopi Bay and Akrotiri, Cyprus
During the summers of 2003 and 2004, a small team of graduate students initiated an underwater archaeological survey off the coast of Cyprus as part of the University of Cincinnati excavations at Episkopi-Bamboula. With the support of the Institute of Nautical Archaeology (INA) at Texas A&M University and RPM Nautical Foundation, the project explored the seabed south and west of the Akrotiri Peninsula at Episkopi Bay. The overall aim of this ongoing diachronic survey is to determine the extent and nature of maritime contacts at Episkopi-Bamboula and its Greco-Roman successor, Kourion, from the Bronze Age through the Byzantine period. Efforts during these first two seasons concentrated on simple visual inspection of several promising areas near dangerous cliffs, offshore rocks and shallow reefs, as well as potential harbors and anchorages. The team recorded substantial pottery and anchor assemblages at Dreamer?s Bay, Cape Zevgari, and Avdimou Bay, including at least three shipwreck sites. Throughout the area, amphoras and anchors attest to varying levels of maritime activity over the past three millennia.The underwater material record reveals a modest level of Classical trade, followed by a respectable increase during the Hellenistic era. While very little material thus far can be attributed to the earlier Imperial centuries, the greatest quantities in terms of both individual sherds and coherent assemblages speaks strongly to intense trade during the Late Roman (Early Byzantine) period, from the fourth through the seventh century. Not surprisingly, this rapid floruit in maritime trade parallels the expansion of settlement throughout the island, including its eventual collapse in the middle of the seventh century.
Leidwanger, Justin Ryan
Natural gas hydrates of the Prudhoe Bay and Kuparuk River area, North Slope, Alaska
Gas hydrates are crystalline substances composed of water and gas, mainly methane, in which a solid-water lattice accommodates gas molecules in a cage-like structure, or clathrate. These substances commonly have been regarded as a potential unconventional source of natural gas because of their enormous gas-storage capacity. Significant quantities of naturally occurring gas hydrates have been detected in many regions of the Arctic, including Siberia, the Mackenzie River Delta, and the North Slope of Alaska. On the North Slope, the methane-hydrate stability zone is a really extensive beneath most of the coastal plain province and has thicknesses greater than 1000 m in the Prudhoe Bay area. Gas hydrates have been inferred to occur in 50 North Slope exploratory and production wells on the basis of well-log responses calibrated to the response of an interval in a well where gas hydrates were recovered in a core by ARCO and Exxon. Most North Slope gas hydrates occur in six laterally continuous lower Tertiary sandstones and conglomerates; all these gas hydrates are geographically restricted to the area overlying the eastern part of the Kuparuk River oil field and the western part of the Prudhoe Bay oil field. The volume of gas within these gas hydrates is estimated to be about 1.0 [times] 10[sup 12] to 1.2 [times] 10[sup 12] m[sup 3] (37 to 44 tcf), or about twice the volume of conventional gas in the Prudhoe Bay field. 52 refs., 13 figs., 2 tabs.
Collett, T.S. (Geological Survey, Denver, CO (United States))
WindPACT Turbine Design Scaling Studies Technical Area 2: Turbine, Rotor, and Blade Logistics; March 27, 2000 to December 31, 2000
1 * NREL/SR-500-29439 1 * NREL/SR-500-29439 Kevin Smith Global Energy Concepts LLC Kirkland, Washington WindPACT Turbine Design Scaling Studies Technical Area 2: Turbine, Rotor, and Blade Logistics March 27, 2000 to December 31, 2000 National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401-3393 NREL is a U.S. Department of Energy Laboratory Operated by Midwest Research Institute * * * * Battelle * * * * Bechtel Contract No. DE-AC36-99-GO10337 June 2001 * NREL/SR-500-29439 WindPACT Turbine Design Scaling Studies Technical Area 2: Turbine, Rotor, and Blade Logistics March 27, 2000 to December 31, 2000 Kevin Smith Global Energy Concepts LLC Kirkland, Washington NREL Technical Monitor: Alan Laxson Prepared under Subcontract No. YAM-0-30203-01 National Renewable Energy Laboratory
Sustainable Energy Solutions Task 5.1:Expand the Number of Faculty Working in Wind Energy: Wind Energy Supply Chain and Logistics
EXECUTIVE SUMARRY Wind as a source of energy has gained a significant amount of attention because it is free and green. Construction of a wind farm involves considerable investment, which includes the cost of turbines, nacelles, and towers as well as logistical costs such as transportation of oversized parts and installation costs such as crane-rental costs. The terrain effects at the project site exert considerable influence on the turbine assembly rate and the project duration, which increases the overall installation cost. For higher capacity wind turbines (>3MW), the rental cost of the cranes is significant. In this study, the impact of interest rate, sales price of electricity, terrain effects and availability of cranes on the duration of installation and payback period for the project is analyzed. Optimization of the logistic activities involved during the construction phase of a wind farm contributes to the reduction of the project duration and also increases electricity generation during the construction phase.
Mercury speciation in Galveston Bay, Texas: the importance of complexation by natural organic ligands
The major goal of this research is the development of a competitive ligand equilibration-solvent solvent extraction (CLE-SSE) method to determine organically complexed mercury species in estuarine water. The method was applied to estuarine surface waters of Galveston Bay and the water column of Offatts Bayou. Thermodynamic equilibrium modeling estimated organically complexed mercury species in estuarine water using the conditional stability constants of mercury-organic complexes and the concentrations of organic ligands determined by CLE-SSE. Two competing ligands, chloride and thiosalicylic acid (TSA), were used for CLE-SSE. Chloride ion competition determined conditional stability constants for 1 : 1 mercury-ligand complexes ranging from ~1023 to ~1024 with concentrations of organic ligands at low nM levels. TSA competition determined stronger mercury-binding ligands by manipulating the TSA concentration such that a higher binding strength was achieved than that for the mercury-chloride complex. TSA competition determined conditional stability constants for 1 : 1 mercury-ligand complexes ranging from ~1027 to ~1029, with ligand concentrations ranging from 10 to 100 pM. Mercury-organic binding strengths in these ranges are consistent with bidentate mercury complexation by low molecular weight organic thiols. A linear relationship was observed between log stability constants for the mercury-ligand complex and log ligand concentrations, supporting the hypothesis that there is a continuum of mercury binding site strengths associated with dissolved organic matter. In Galveston Bay, organically complexed mercury accounted for > 95 % of the total dissolved mercury in surface water. Organic complexation of mercury coupled with mercury dissolution from particulate phases controls the filter-passing mercury distribution in surface waters of Galveston Bay. The estuarine distributional features of mercury-complexing organic ligands were similar to those of glutathione, supporting mercury complexation by a thiol binding group. In Offatts Bayou, a seasonally anoxic bayou on Galveston Bay, thermodynamic equilibrium modeling suggests that the speciation of dissolved mercury in anoxic systems is dominated by sulfide complexation rather than organic complexation.
Han, Seunghee
Zero Emission Bay Area (ZEBA) Fuel Cell Bus Demonstration: First Results Report
This report documents the early implementation experience for the Zero Emission Bay Area (ZEBA) Demonstration, the largest fleet of fuel cell buses in the United States. The ZEBA Demonstration group includes five participating transit agencies: AC Transit (lead transit agency), Santa Clara Valley Transportation Authority (VTA), Golden Gate Transit (GGT), San Mateo County Transit District (SamTrans), and San Francisco Municipal Railway (Muni). The ZEBA partners are collaborating with the U.S. Department of Energy (DOE) and DOE's National Renewable Energy Laboratory (NREL) to evaluate the buses in revenue service.
Chandler, K.; Eudy, L.
Corpus Christi Bay (TX, USA) is a shallow wind-driven bay which is designated as a National Estuary due to its impact on the economy. But this bay experiences periodic hypoxia (dissolved oxygen <2 mg/l) which threatens aerobic aquatic organisms. Development of the Coastal Margin Observation and Assessment System (CMOAS) through integration of real-time observations with numerical modeling helps to understand the processes causing hypoxia in this energetic bay. CMOAS also serves as a template for the implementation of observational systems in other dynamic ecosystems for characterizing and predicting other episodic events such as harmful algal blooms, accidental oil spills, sediment resuspension events, etc. State-of-the-art sensor technologies are involved in real-time monitoring of hydrodynamic, meteorological and water quality parameters in the bay. Three different platform types used for the installation of sensor systems are: 1) Fixed Robotic, 2) Mobile, and 3) Remote. An automated profiler system, installed on the fixed robotic platform, vertically moves a suite of in-situ sensors within the water column for continuous measurements. An Integrated Data Acquisition, Communication and Control system has been configured on our mobile platform (research vessel) for the synchronized measurements and real-time visualization of hydrodynamic and water quality parameters at greater spatial resolution. In addition, a high frequency (HF) radar system has been installed on remote platforms to generate surface current maps for Corpus Christi (CC) Bay and its offshore area. This data is made available to stakeholders in real-time through the development of cyberinfrastructure which includes establishment of communication network, software development, web services, database development, etc. Real-time availability of measured datasets assists in implementing an integrated sampling scheme for our monitoring systems installed at different platforms. With our integrated system, we were able to capture evidence of an hypoxic event in Summer 2007. Data collected from our monitoring systems are used to drive and validate numerical models developed in this study. The analysis of observational datasets and developed 2-D hydrodynamic model output suggests that a depth-integrated model is not able to capture the water current structure of CC Bay. Also, the development of a threedimensional mechanistic dissolved oxygen model and a particle aggregation transport model (PAT) helps to clarify the critical processes causing hypoxia in the bay. The various numerical models and monitoring systems developed in this study can serve as valuable tools for the understanding and prediction of various episodic events dominant in other dynamic ecosystems.
Islam, Mohammad S.
The Golden Gate Textile Barrier: Preserving California Bay of San Francisco from a Rising North Pacific Ocean
Climate change in California may require construction of a barrier separating the Pacific Ocean from San Francisco Bay and the Sacramento River-San Joaquin River Delta simply because Southern California is remarkably dependent on freshwater exported from the Delta. We offer a new kind of salt barrier, a macroproject built of impermeable textile materials stretched across the Golden Gate beneath the famous bridge. We anticipate it might eventually substitute for a recently proposed San Francisco In-Stream Tidal Power Plant harnessing a 1.7 m tide at the Bay entrance if future climate conditions Statewide is conducive. First-glance physics underpin our macroproject.
Richart B. Cathcart; Alexander A. Bolonkin
Stratigraphic controls on fluid distribution: An example from Prudhoe Bay, Alaska
Oil, gas, and water distribution in three drill sites (1 79 wells) studied in the Prudhoe Bay Field is controlled dominantly by sandstone and shale stratigraphy. Detailed reservoir description, encompassing genetic-stratigraphic correlations and three-dimensional reservoir modeling has provided a new look at the locations of remaining reserves in the upper Romeo and Tango intervals of the Ivishak Sandstone. Greater than 22 billion stock tank barrels constitute in-place oil reserves in Prudhoe Bay Field. Production in excess of nine billion barrels, in conjunction with waterflood and tertiary-recovery projects, has created a complex distribution of reservoir fluids. As oil is produced, the gas-cap expands and intersects laterally extensive shales to form gas underruns. Underruns are of great economic concern as they disrupt the NLOC and segregate oil lenses as well as causing high GOR wells. Recovering these oil lenses at low GORs requires precise analysis of in-place fluids, well placement, and completion strategy. Core descriptions and stratigraphic correlations provided the basis for facies interpretations and the deterministic division of the strata into twenty-four reservoir layers (twelve sandstone and shale units). Isochore, fluid-distribution, and NILOC maps were compiled for the reservoir horizons. Stratigraphic, structural, and fluid data integrated within a three-dimensional model resulted in an improved fluid-distribution picture and revealed numerous development opportunities including infill wells, sidetracks, and recompletions.
Burns, B.A.; Knock, D.; Tye, R.S. (ARCO Alaska, Anchorage, AK (United States))
Airborne gamma-ray spectrometer and magnetometer survey Coos Bay, Oregon. Final report
During the months of August, September, and October of 1980, Aero Service Division Western Geophysical Company of America conducted an airborne high sensitivity gamma-ray spectrometer and magnetometer survey over ten (10) areas over northern California and southwestern Oregon. These include the 2/sup 0/ x 1/sup 0/ NTMS quadrangles of Roseburg, Medford, Weed, Alturas, Redding, Susanville, Ukiah, and Chico along with the 1/sup 0/ x 2/sup 0/ areas of the Coos Bay quadrangle and the Crescent City/Eureka areas combined. This report discusses the results obtained over the Coos Bay, Oregon, map area. Line spacing was generally six miles for east/west traverses and eighteen miles for north/south tie lines over the northern one-half of the area. Traverses and tie lines were flown at three miles and twelve miles respectively over the southern one-half of the area. A total of 16,880.5 line miles of geophysical data were acquired, compiled, and interpreted during the survey, of which 863.8 line miles are in this quadrangle.
Performance analysis and optimization of the Prudhoe Bay miscible-gas project
Because EOR oil response at Prudhoe Bay has been difficult to measure directly, a number of different types of field measurements have been made to evaluate the miscible-flood displacement efficiency. These measurements include water- and solvent-injection profiles, logging data from an observation well, and single-well tracer test (SWTT) data. Despite ambiguity in these data, the measurements support the simulation nd laboratory data and generally indicate that the Prudhoe Bay Miscible Gas Project (PBMGP) is performing well. The most useful EOR surveillance data have been the separator-gas-sample database, with {approx} 4,000 compositional analyses. Separator flash analysis and allocation programs use this data-base to infer EOR performance on the basis of produced solvent. Reservoir mechanisms that adversely affect the EOR process efficiency have been identified. The project has exceeded initial expectations in terms of solvent retained within the reservoir, which has favorable implications for solvent sweep efficiency. Procedures have been developed to use the field and simulation data to determine how the solvent should be allocated to the existing patterns and when the project should be expanded into new areas. these procedures are designed to maximize the value of the PBMGP.
McGuire, P.L. [Arco Alaska Inc., Prudhoe Bay, AK (United States); Stalkuup, F.I
Geological, geochemical, and geophysical survey of the geothermal resources at Hot Springs Bay Valley, Akutan Island, Alaska
An extensive survey was conducted of the geothermal resource potential of Hot Springs Bay Valley on Akutan Island. A topographic base map was constructed, geologic mapping, geophysical and geochemical surveys were conducted, and the thermal waters and fumarolic gases were analyzed for major and minor element species and stable isotope composition. (ACR)
Motyka, R.J.; Wescott, E.M.; Turner, D.L.; Swanson, S.E.; Romick, J.D.; Moorman, M.A.; Poreda, R.J.; Witte, W.; Petzinger, B.; Allely, R.D.
Origins and Levels of Seasonal Forecast Skill for Sea Ice in Hudson Bay Using Canonical Correlation Analysis
Canonical correlation analysis (CCA) is used to estimate the levels and sources of seasonal forecast skill for July ice concentration in Hudson Bay over the 1971�2005 period. July is an important transition month in the seasonal cycle of sea ice ...
Adrienne Tivy; Stephen E. L. Howell; Bea Alt; John J. Yackel; Thomas Carrieres
A Three-Dimensional Numerical Simulation of Hudson Bay Summer Ocean Circulation: Topographic Gyres, Separations, and Coastal Jets
The summer ocean circulation in Hudson Bay is studied numerically using the Blumberg-Mellor model with a 27.5 km � 27.5 km horizontal grid and a realistic bottom topography. In the control run 1) monthly climatological forcing fields of wind ...
Jia Wang; Lawrence A. Mysak; R. Grant Ingram
An Observation System Used To Study the Marine Boundary Layer Over the Bay of Bengal During Summer Monex 79
An observation system used to study the marine boundary layer over the Bay of Bengal at Digha Beach, West Bengal, India, as part of the International Monsoon Experiments (MONEX 79) is described in this paper. It was a portable system that was ...
S. SethuRaman; P. Michael; W. A. Tuthill; J. McNeil
Comparisons between Mesoscale Model Terrain Sensitivity Studies and Doppler Lidar Measurements of the Sea Breeze at Monterey Bay
A NOAA/Environmental Technology Laboratory Doppler lidar measured the life cycle of the land- and sea-breeze system at Monterey Bay, California, in 1987, during the Land�Sea Breeze Experiment (LASBEX). On days with offshore synoptic flow, the ...
Lisa S. Darby; Robert M. Banta; Roger A. Pielke Sr.
Wind Stress Curl and Coastal Upwelling in the Area of Monterey Bay Observed during AOSN-II
Aircraft measurements obtained during the 2003�04 Autonomous Ocean Sampling Network (AOSN-II) project were used to study the effect of small-scale variations of near-surface wind stress on coastal upwelling in the area of Monterey Bay. Using 5-km-...
Q. Wang; J. A. Kalogiros; S. R. Ramp; J. D. Paduan; G. Buzorius; H. Jonsson
Validation Test Report For The CRWMS Analysis and Logistics Visually Interactive Model Calvin Version 3.0, 10074-Vtr-3.0-00
This report describes the tests performed to validate the CRWMS ''Analysis and Logistics Visually Interactive'' Model (CALVIN) Version 3.0 (V3.0) computer code (STN: 10074-3.0-00). To validate the code, a series of test cases was developed in the CALVIN V3.0 Validation Test Plan (CRWMS M&O 1999a) that exercises the principal calculation models and options of CALVIN V3.0. Twenty-five test cases were developed: 18 logistics test cases and 7 cost test cases. These cases test the features of CALVIN in a sequential manner, so that the validation of each test case is used to demonstrate the accuracy of the input to subsequent calculations. Where necessary, the test cases utilize reduced-size data tables to make the hand calculations used to verify the results more tractable, while still adequately testing the code's capabilities. Acceptance criteria, were established for the logistics and cost test cases in the Validation Test Plan (CRWMS M&O 1999a). The Logistics test cases were developed to test the following CALVIN calculation models: Spent nuclear fuel (SNF) and reactivity calculations; Options for altering reactor life; Adjustment of commercial SNF (CSNF) acceptance rates for fiscal year calculations and mid-year acceptance start; Fuel selection, transportation cask loading, and shipping to the Monitored Geologic Repository (MGR); Transportation cask shipping to and storage at an Interim Storage Facility (ISF); Reactor pool allocation options; and Disposal options at the MGR. Two types of cost test cases were developed: cases to validate the detailed transportation costs, and cases to validate the costs associated with the Civilian Radioactive Waste Management System (CRWMS) Management and Operating Contractor (M&O) and Regional Servicing Contractors (RSCs). For each test case, values calculated using Microsoft Excel 97 worksheets were compared to CALVIN V3.0 scenarios with the same input data and assumptions. All of the test case results compare with the CALVIN V3.0 results within the bounds of the acceptance criteria. Therefore, it is concluded that the CALVIN V3.0 calculation models and options tested in this report are validated.
S. Gillespie
Observation of electron antineutrino disappearance by the Daya Bay Reactor Neutrino Experiment
This presentation describes a measurement of the neutrino mixing parameter, sin^2(2theta_13), from the Daya Bay Reactor Neutrino Experiment. Disappearance of electron antineutrinos at a distance of ~2 km from a set of six reactors, where the reactor flux is constrained by near detectors, has been clearly observed. The result, based on the ratio of observed to expected rate of antineutrinos, using 139 days of data taken between December 24, 2011 and May 11, 2012, is sin^2(2theta_13) = 0.089 +/- 0.010(stat.) +/- 0.005(syst.). Improvements in sensitivity from inclusion of additional data, spectral analysis, and improved calibration are expected in the future.
Elizabeth Worcester for the Daya Bay Collaboration
Zero Emission Bay Area (ZEBA) Fuel Cell Bus Demonstration: Second Results Report
This report presents results of a demonstration of 12 new fuel cell electric buses (FCEB) operating in Oakland, California. The 12 FCEBs operate as a part of the Zero Emission Bay Area (ZEBA) Demonstration, which also includes two new hydrogen fueling stations. This effort is the largest FCEB demonstration in the United States and involves five participating transit agencies. The ZEBA partners are collaborating with the U.S. Department of Energy (DOE) and DOE's National Renewable Energy Laboratory (NREL) to evaluate the buses in revenue service. The first results report was published in August 2011, describing operation of these new FCEBs from September 2010 through May 2011. New results in this report provide an update through April 2012.
Eudy, L.; Chandler, K.
Analyses of reliability characteristics of emergency diesel generator population using empirical Bayes methods
Emergency Diesel Generators (EDGs) provide backup power to nuclear power plants in case of failure of AC buses. The reliability of EDGs is important to assure response to loss-of-offsite power accident scenarios, a dominant contributor to the plant risk. The reliable performance of EDGs has been of concern both for regulators and plant operators. In this paper the authors present an approach and results from the analysis of failure data from a large population of EDGs. They used empirical Bayes approach to obtain both the population distribution and the individual failure probabilities from EDGs failure to start and load-run data over 4 years for 194 EDGs at 63 plant units.
Vesely, W.E. [Science Applications International Corp., Dublin, OH (United States)]|[Brookhaven National Lab., Upton, NY (United States); Uryas`ev, S.P.; Samanta, P.K. [Brookhaven National Lab., Upton, NY (United States)
Techno-economic analysis of using corn stover to supply heat and power to a corn ethanol plant - Part 1: Cost of feedstock supply logistics
Supply of corn stover to produce heat and power for a typical 170 dam3 dry mill ethanol plant is proposed. The corn ethanol plant requires 5.6 MW of electricity and 52.3 MW of process heat, which creates the annual stover demand of as much as 140 Gg. The corn stover supply system consists of collection, preprocessing, transportation and on-site fuel storage and preparation to produce heat and power for the ethanol plant. Economics of the entire supply system was conducted using the Integrated Biomass Supply Analysis and Logistics (IBSAL) simulation model. Corn stover was delivered in three formats (square bales, dry chops and pellets) to the combined heat and power plant. Delivered cost of biomass ready to be burned was calculated at 73 $ Mg-1 for bales, 86 $ Mg-1 for pellets and 84 $ Mg-1 for field chopped biomass. Among the three formats of stover supply systems, delivered cost of pelleted biomass was the highest due to high pelleting cost. Bulk transport of biomass in the form of chops and pellets can provide a promising future biomass supply logistic system in the US, if the costs of pelleting and transport are minimized.
Sokhansanj, Shahabaddine [ORNL; Mani, Sudhagar [University of Georgia; Togore, Sam [U.S. Department of Energy; Turhollow Jr, Anthony F [ORNL
Development of a Three-Dimensional Meso-? Primitive Equation Model: Katabatic Winds Simulation in the Area of Terra Nova Bay, Antarctica
The spatial evolution of Antarctic katabatic winds in the area of Terra Nova Bay is examined using the three-dimensional version of the Universit� Catholique de Louvain-Mod�le Atmosph�rique R�gional (UCL-MAR) mesoscale primitive equation models. ...
Hubert Gall�e; Guy Schayes
An Analysis of Near-Surface Winds, Air Temperature, and Cyclone Activity in Terra Nova Bay, Antarctica, from 1993 to 2009
In September 2009, the first unmanned aerial vehicles were flown over Terra Nova Bay, Antarctica, to collect information regarding air�sea interactions. Prior to the field season, wind and temperature data from a local automatic weather station (...
Shelley L. Knuth; John J. Cassano
Studies of the Marine Inversion Over the San Francisco Bay Area � A Summary of the Work of Albert Miller, 1961�1978
During his tenure in the Meteorology Department at San Jose State University (1961�1978), Professor Albert Miller conducted extensive field investigations of the marine inversion over the San Francisco Bay Area. Measurements were made with ...
Peter F. Lester
A high resolution geophysical investigation of spatial sedimentary processes in a paraglacial turbid outwash fjord: Simpson Bay, Prince William Sound, Alaska
Simpson Bay is a turbid, outwash fjord located in northeastern Prince William Sound, Alaska. A high ratio of watershead:basin surface area combined with high precipitation and an easily erodable catchment create high sediment inputs. Fresh water from heavy precipitation and meltwater from high alpine glaciers enter Simpson Bay through bay head rivers and small shoreline creeks that drain the catchment. Side scan sonar, seismic profiling, and high resolution bathymetry were used to investigate the record of modern sedimentary processes. Four bottom types and two seismic faces were described to delineate the distribution of sediment types and sedimentary processes in Simpson Bay. Sonar images showed areas of high backscatter (coarse grain sediment, bedrock outcrops and shorelines) in shallow areas and areas of low backscatter (estuarine mud) in deeper areas. Seismic profiles showed that high backscatter areas reflected emergent glacial surfaces while low backscatter areas indicated modern estuarine mud deposition. The data show terminal morainal bank systems and grounding line deposits at the mouth of the bay and rocky promontories, relict medial moraines, that extend as terrestrial features through the subtidal and into deeper waters. Tidal currents and mass wasting are the major influences on sediment distribution. Hydrographic data showed high spatial variability in surface and bottom currents throughout the bay. Bottom currents are tide dominated, and are generally weak (5-20 cm s-1) in the open water portions of the bay while faster currents are found associated with shorelines, outcrops, and restrictive sills. Tidal currents alone are not enough to cause the lack of estuarine mud deposition in shallow areas. Bathymetric data showed steep slopes throughout the bay suggesting sediment gravity flows. Central Alaska is a seismically active area, and earthquakes are most likely the triggering mechanism of the gravity flows.
Noll, Christian John, IV
Fate of corrosion products released from stainless steel in marine sediments and seawater. Part 2. Sequim Bay clayey silt
This report describes laboratory experiments in which neutron-activated 347 stainless steel specimens were exposed to clayey silt from Sequim Bay, Washington. The properties and trace metal geochemistry of the sediment and the amounts of corrosion products that were released under oxic and reduced conditions and their distribution among different chemical fractions of the sediment are discussed. The distributions of Cr, Mn, Fe, Ni and Cu among different chemical forms in the Sequim Bay sediment show that DTPA removed acetic acid) accounted for approx. 30% of total extractable Mn and approx. 10% or less of Cr, Fe, Ni and Cu. Major portions of Cr and Cu, and a large amount of Fe were in the organic fraction. Extractable Mn, Fe and Ni were associated with hydrous oxides likely as coatings on the mineral substrate of the sediment. No Co was detectable in any of the extracts. (PSB)
Schmidt, R.L.
Does DaYa-Bay Reactor Play an Important Role in Theta_{13} of Lepton Mixing (PMNS) Matrix ?
Reactor neutrinos play an important role in determining parameter theta_{13} in the lepton mixing (PMNS) matrix. Next important step on measuring PMNS matrix could be to build another reactor neutrino experiment in DaYa bay, China, to search the possible oscillations via sin^2 (2theta_{13}) and Delta m^2_{13}. We consider 4 different schemes for positions of three 8-ton detectors of this experiment, and simulate the results with respect to an array of assumed ''true'' values of physics parameters. Using three kinds of analysis method, we suggest a best scheme for DaYa-Bay which is to place a detector 2200m ~ 2500m symmetrically away from two reactors, and to put the other two detectors closer to their corresponding reactors respectively, almost at a 100m \\~ 200m distance. Moreover, with conservative assumption on the experimental technique, we construct series of allowed regions from our simulation results, and give detailed explanations therein. The movable detectors in DaYa-Bay can measure solar neutrino pa...
Liu, Q Y; Chen, B L; Yang, P
Lower Flathead System Fisheries Study, South Bay of Flathead Lake, Volume III, 1983-1987 Final Report.
The Lower Flathead System Fisheries Study assessed the effects of Kerr Dam operation on the fisheries of the lower Flathead ecosystem. South Bay, the southern most lobe of Flathead Lake, is the most extensive area of shallow water, and therefore, most effected by changes in lake levels. This study began in January of 1984 and was completed in early 1987. Vegetative and structural cover are relatively limited in South Bay, a condition which could contribute to lower recruitment for some fish species. Our data show that the study area contained 0.04% structural and 5.4% vegetative cover in June at full pool. Both figures are less than 1.0% at minimum pool. Structural complexity mediates the ecological interactions between littoral zone fish and their prey, and can affect local productivity and growth in fish. Structural complexity may also be important to overwinter survival of young perch in Flathead Lake. Winter conditions, including ice cover and fall drawdown, seasonally eliminate the vegetative portion of most rooted macrophytes in South Bay. This results in substantial loss of what little structural cover exists, depriving the perch population of habitat which has been occupied all summer. The loss of cover from draw-down concentrates and probably exposes perch to greater predation, including cannibalism, than would occur if structural complexity were greater. 33 refs., 10 figs., 5 tabs.
Cross, David; Waite, Ian
Superfund Record of Decision (EPA Region 9): Barstow Marine Corps Logistics Base, Operable Units 5 and 6, Barstow, CA, January 12, 1998
The Marine Corps Logistics Base (MCLB) Barstow is in San Bernardino County, California, in the central Mojave Desert approximately 135 miles northeast of Los Angeles. Twenty-four Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) Areas of Concern (CAOCs) at MCLB Barstow are addressed by this Record of Decision (ROD). The OU 5 AOCs are within the Yermo Annex and the OU 6 CAOCs are within the Nebo Main Base. The 4,006-acre Nebo Main Base is 1 mile east of Barstow and intersected by Interstate 40. The 1,680-acre Yermo Annex is 7 miles east of Barstow, between Interstates 15 and 40, and is 6 miles east of the Nebo Main Base.
U.S. Army Energy and Environmental Requirements and Goals: Opportunities for Fuel Cells and Hydrogen - Facility Locations and Hydrogen Storage/Delivery Logistics
US Army Corps US Army Corps of Engineers ® Engineer Research and Development Center U.S. Army Energy and Environmental Requirements and Goals: Opportunities for Fuel Cells and Hydrogen Facility Locations and Hydrogen Storage/Delivery Logistics Nicholas M. Josefik 217-373-4436 email@example.com www.dodfuelcell.com Franklin H. Holcomb Project Leader, Fuel Cell Team 27 OCT 08 Distributed Generation H 2 Generation & Storage Material Handling H2 Vehicles 2 US Army Corps of Engineers ® Engineer Research and Development Center Presentation Outline * DoD Energy Use * Federal Facilities Goals and Requirements * Federal Vehicles and Fuel Goals * Opportunities & Conclusions 3 US Army Corps of Engineers ® Engineer Research and Development Center Where Does the Energy Go? * Tactical and Combat Vehicles (Jets,
Role of Morphological Growth State and Gene Expression in Desulfovibrio africanus strain Walvis Bay Mercury Methylation
The biogeochemical transformations of mercury are a complex process, with the production of methylmercury, a potent human neurotoxin, repeatedly demonstrated in sulfate- and Fe(III)- reducing as well as methanogenic bacteria. However, little is known regarding the morphology, genes or proteins involved in methylmercury generation. Desulfovibrio africanus strain Walvis Bay is a Hg-methylating -proteobacterium with a sequenced genome and has unusual pleomorphic forms. In this study, a relationship between the pleomorphism and Hg methylation was investigated. Proportional increases in the sigmoidal (regular) cell form corresponded with increased net MeHg production, but decreased when the pinched cocci (persister) form became the major morphotype. D. africanus microarrays indicated that the ferrous iron transport genes (feoAB), as well as ribosomal genes and several genes whose products are predicted to have metal binding domains (CxxC), were up-regulated during exposure to Hg in the exponential phase. While no specific methylation pathways were identified, the finding that Hg may interfere with iron transport and the correlation of growth-phase dependent morphology with MeHg production are notable. The identification of these relationships between differential gene expression, morphology, and the growth phase dependence of Hg transformations suggests that actively growing cells are primarily responsible for methylation, and so areas with ample carbon and electron-acceptor concentrations may also generate a higher proportion of methylmercury than more oligotrophic environments. The observation of increased iron transporter expression also suggests that Hg methylation may interfere with iron biogeochemical cycles.
Moberly, James G [ORNL; Miller, Carrie L [ORNL; Brown, Steven D [ORNL; Biswas, Abir [ORNL; Brandt, Craig C [ORNL; Palumbo, Anthony Vito [ORNL; Elias, Dwayne A [ORNL
Information summary, Area of Concern: Saginaw River and Saginaw Bay. Final report, Aug-Dec 88
A 5-year study and demonstration project, Assessment and Remediation of Contaminated Sediments (ARCS) was authorized, with emphasis on the removal of toxic pollutants from bottom sediments. Information from the ARCS program is to be used to guide the development of Remedial Action Plans (RAPs) for 42 identified great Lakes Areas of Concern (AOC) as well as Lake-wide Management Plans. The AOCs are areas where serious impairment of beneficial uses of water or biota (drinking, swimming, fishing, navigation, etc.) is known to exist, or where environmental quality criteria are exceeded to the point that such impairment is likely. Research was conducted on the various aspects of contaminant mobility in the aquatic environment. A list of information was developed to evaluate the potential for contaminant mobility. This report summarizes the information obtained for the Saginaw River and Saginaw Bay AOC in Michigan. Data tables include information on discharge, volume and migration of contaminants, sediment transport, oil spills, hazardous materials, superfund sites, bioassay data and biological data (i.e. fish, wildlife habitats, plankton, fish and endangered species).
Brandon, D.L.; Lee, C.R.; Simmers, J.W.; Tatem, H.E.; Skogerboe, J.G.
Load test of the 277W Building high bay roof deck and support structure
The 277W Building high bay roof area was load tested according to the approved load-test procedure, WHC-SD-GN-TP-30015, Revision 1. The 277W Building is located in the 200 West Area of the Hanford Site and has the following characteristics: roof deck -- wood decking supported by 4 x 14 timber purlins; roof membrane -- tar and gravel; roof slope -- flat (<10 deg); and roof elevation -- maximum height of about 63 ft. The 227W Building was visited in March 1994 for a visual inspection. During this inspection, cracked areas were visible in the decking, but it was not possible to determine whether these cracks extended completely through the decking, which is 2-in. thick. The building was revisited in March 1994 for the purpose of writing this test report. Because the roof requires personnel access, a test was determined to be the best way to qualify the roof. The conclusions are that the roof has been qualified for 500-lb total roof load and that the ``No Roof Access`` signs can be changed to ``Roof Access Restricted`` signs.
McCoy, R.M.
The 277W Building high bay roof area was load tested according to the approved load-test procedure, WHC-SD-GN-TP-30015, Revision 1. The 277W Building is located in the 200 West Area of the Hanford Site and has the following characteristics: roof deck -- wood decking supported by 4 x 14 timber purlins; roof membrane -- tar and gravel; roof slope -- flat (roof elevation -- maximum height of about 63 ft. The 227W Building was visited in March 1994 for a visual inspection. During this inspection, cracked areas were visible in the decking, but it was not possible to determine whether these cracks extended completely through the decking, which is 2-in. thick. The building was revisited in March 1994 for the purpose of writing this test report. Because the roof requires personnel access, a test was determined to be the best way to qualify the roof. The conclusions are that the roof has been qualified for 500-lb total roof load and that the ``No Roof Access`` signs can be changed to ``Roof Access Restricted`` signs.
During the period of February 14 to 15, 2012, ORISE performed radiological confirmatory survey activities for the former Fuel Oil Tank Area (FOTA) and additional radiological surveys of portions of the Humboldt Bay Power Plant site in Eureka, California. The radiological survey results demonstrate that residual surface soil contamination was not present significantly above background levels within the FOTA. Therefore, it is ORISE�s opinion that the radiological conditions for the FOTA surveyed by ORISE are commensurate with the site release criteria for final status surveys as specified in PG&E�s Characterization Survey Planning Worksheet. In addition, the confirmatory results indicated that the ORISE FOTA survey unit Cs-137 mean concentrations results compared favorably with the PG&E FOTA Cs-137 mean concentration results, as determined by ORISE from the PG&E characterization data. The interlaboratory comparison analyses of the three soil samples analyzed by PG&E�s onsite laboratory and the ORISE laboratory indicated good agreement for the sample results and provided confidence in the PG&E analytical procedures and final status survey soil sample data reporting.
Updated User's Guide for Sammy: Multilevel R-Matrix Fits to Neutron Data Using Bayes' Equations
In 1980 the multilevel multichannel R-matrix code SAMMY was released for use in analysis of neutron-induced cross section data at the Oak Ridge Electron Linear Accelerator. Since that time, SAMMY has evolved to the point where it is now in use around the world for analysis of many different types of data. SAMMY is not limited to incident neutrons but can also be used for incident protons, alpha particles, or other charged particles; likewise, Coulomb exit hannels can be included. Corrections for a wide variety of experimental conditions are available in the code: Doppler and resolution broadening, multiple-scattering corrections for capture or reaction yields, normalizations and backgrounds, to name but a few. The fitting procedure is Bayes' method, and data and parameter covariance matrices are properly treated within the code. Pre- and post-processing capabilities are also available, including (but not limited to) connections with the Evaluated Nuclear Data Files. Though originally designed for use in the resolved resonance region, SAMMY also includes a treatment for data analysis in the unresolved resonance region.
Larson, Nancy M [ORNL
The Sequential Empirical Bayes Method: An Adaptive Constrained-Curve Fitting Algorithm for Lattice QCD
We introduce the ``Sequential Empirical Bayes Method'', an adaptive constrained-curve fitting procedure for extracting reliable priors. These are then used in standard augmented-$\\chi^2$ fits on separate data. This better stabilizes fits to lattice QCD overlap-fermion data at very low quark mass where {\\it a priori} values are not otherwise known. Lessons learned (including caveats limiting the scope of the method) from studying artificial data are presented. As an illustration, from local-local two-point correlation functions, we obtain masses and spectral weights for ground and first-excited states of the pion, give preliminary fits for the $a_0$ where ghost states (a quenched artifact) must be dealt with, and elaborate on the details of fits of the Roper resonance and $S_{11}(N^{1/2-})$ previously presented elsewhere. The data are from overlap fermions on a quenched $16^3\\times 28$ lattice with spatial size $La=3.2 {\\rm fm}$ and pion mass as low as $\\sim 180 {\\rm MeV}$.
Ying Chen; Shao-Jing Dong; Terrence Draper; Ivan Horvath; Keh-Fei Liu; Nilmani Mathur; Sonali Tamhankar; Cidambi Srinivasan; Frank X. Lee; Jianbo Zhang
Bayes in the sky: Bayesian inference and model selection in cosmology
The application of Bayesian methods in cosmology and astrophysics has flourished over the past decade, spurred by data sets of increasing size and complexity. In many respects, Bayesian methods have proven to be vastly superior to more traditional statistical tools, offering the advantage of higher efficiency and of a consistent conceptual basis for dealing with the problem of induction in the presence of uncertainty. This trend is likely to continue in the future, when the way we collect, manipulate and analyse observations and compare them with theoretical models will assume an even more central role in cosmology. This review is an introduction to Bayesian methods in cosmology and astrophysics and recent results in the field. I first present Bayesian probability theory and its conceptual underpinnings, Bayes' Theorem and the role of priors. I discuss the problem of parameter inference and its general solution, along with numerical techniques such as Monte Carlo Markov Chain methods. I then review the theory and application of Bayesian model comparison, discussing the notions of Bayesian evidence and effective model complexity, and how to compute and interpret those quantities. Recent developments in cosmological parameter extraction and Bayesian cosmological model building are summarized, highlighting the challenges that lie ahead.
Effect of Hurricane Hugo on molluscan skeletal distributions, Salt River Bay, St. Croix, US Virgin Islands
Just prior to the passage of Hurricane Hugo over St. Croix, U.S. Virgin Islands, 35 molluscan skeletal samples were collected at 30 m intervals along a sampling transect in Salt River Bay, on the north-central coast. Three months after the hurricane, the transect was resampled to permit direct assessment of storm effects on skeletal distributions. Results indicate that spatial zonation of molluscan accumulations, associated with environmental transitions along the transect, was maintained in the wake of the hurricane. However, limited transport was diagnosed by comparing the compositions of prestorm and poststorm samples from the deepest, mud-rich subenvironment on the transect. In aggregate, the species richness of samples from the southern half of this zone increased from 16 to 40, and the abundance of species that were not among the characteristic molluscs of this subenvironment increased from 11% to 26%. These storm effects could probably not have been recognized, and attributed directly to Hugo, had there been no prestorm samples with which to compare directly the poststorm samples.
Miller, A.I.; Llewellyn, G. (Univ. of Cincinnati, OH (United States)); Cummins, H.; Boardman, M.R. (Miami Univ., Oxford, OH (United States)); Greenstein, B.J. (Smith College, Northampton, MA (United States)); Jacobs, D.K. (Univ. of California, Berkeley (United States)); Parsons, K.M.
AARP submits the following comments on consumers and smart grid issues in response to the Request for Information (Request or RFI) on smart grid policy and logistical challenges, published by the Department of Energy (DOE) on September 16, 2010
AARP, National Consumer Law Center, and Public Citizen Comments to: DEPARTMENT OF ENERGY Smart Grid RFI: Addressing Policy and Logistical Challenges David Certner Legislative Counsel and Legislative Policy Director AARP Government Relations and Advocacy Olivia Wein, Staff Attorney National Consumer Law Center Tyson Slocum, Director Public Citizen's Energy Program November 1, 2010 2 CONSUMER COMMENTERS: AARP, National Consumer Law Center, and Public Citizen submit the following comments on consumers and smart grid issues in response to the Request for Information (Request or RFI) on smart grid policy and logistical challenges, published by the Department of Energy (DOE) on September 16, 2010. About AARP, National Consumer Law Center, and Public Citizen
Emission Changes Resulting from the San Pedro Bay, California Ports Truck Retirement Program
Recent U.S. Environmental Protection Agency emissions regulations have resulted in lower emissions of particulate matter and oxides of nitrogen from heavy-duty diesel trucks. To accelerate fleet turnover the State of California in 2008 along with the Ports of Los Angeles and Long Beach (San Pedro Bay Ports) in 2006 passed regulations establishing timelines forcing the retirement of older diesel trucks. On-road emissions measurements of heavy-duty diesel trucks were collected over a three-year period, beginning in 2008, at a Port of Los Angeles location and an inland weigh station on the Riverside freeway (CA SR91). At the Port location the mean fleet age decreased from 12.7 years in April of 2008 to 2.5 years in May of 2010 with significant reductions in carbon monoxide (30%), oxides of nitrogen (48%) and infrared opacity (a measure of particulate matter, 54%). We also observed a 20-fold increase in ammonia emissions as a result of new, stoichiometrically combusted, liquefied natural gas powered trucks. These results compare with changes at our inland site where the average ages were 7.9 years in April of 2008 and 8.3 years in April of 2010, with only small reductions in oxides of nitrogen (10%) being statistically significant. Both locations have experienced significant increases in nitrogen dioxide emissions from new trucks equipped with diesel particle filters; raising the mean nitrogen dioxide to oxides of nitrogen ratios from less than 10% to more than 30% at the Riverside freeway location.
Bishop, G. A.; Schuchmann, B. G.; Stedman, D. H.; Lawson, D. R.
Load test of the 272E Building high bay roof deck and support structure
The 272E Building high bay roof area was load tested according to the approved load-test procedure. The 272E Building is located in the 200 East Area of the Hanford Site and has the following characteristics: Roof deck -- wood decking supported by 4 x 14 timber purlins; Roof membrane -- tar and gravel; Roof slope -- flat (<10 deg); and Roof elevation -- maximum height of about 63 ft. The 272 Building was visited in August 1992 for a visual inspection. During this inspection, cracked areas were visible in the decking, but it was not possible to determine whether these cracks extended completely through the decking, which is 2-in. thick. The building was revisited in March 1994 for the purpose of writing this test report. Because the roof requires personnel access, a test was determine to be the best way to qualify the roof. The pre-test briefing consisted of filling out the pre-test checklist, discussing proper lifting techniques, reviewing the fall-protection plan, reviewing the job hazards analysis, and reviewing the robot travel path. The load-test results consist of visual observations and the test engineer`s conclusions. Visual observations found no adverse conditions such as large deflections or permanent deformations. No deflection measurements were recorded because the tar and gravel on roof get displaced by the robot tracks; the result is large variations in deflection measurements. The conclusions are that the roof has been qualified for 500-lb total roof load and that the ``No Roof Access`` signs can be changed to ``Roof Access Restricted`` signs.
Unexpected increasing AOT trends over northwest Bay of Bengal in the early postmonsoon season
The main point of our study is that aerosol trends can be created by changes in meteorology without changes in aerosol source strength. Over the 10 year period 2000�2009, in October, Moderate Resolution Imaging Spectroradiometer (MODIS) showed strong increasing aerosol optical thickness (AOT) trends of approximately 14% yr-1 over northwest Bay of Bengal (BoB) in the absence of AOT trends over the east of the Indian subcontinent. This was unexpected because sources of anthropogenic pollution were located over the Indian subcontinent and aerosol transport from the Indian subcontinent to northwest BoB was carried out by prevailing winds. In October, winds over the east of the Indian subcontinent were stronger than winds over northwest BoB, which resulted in wind convergence and accumulation of aerosol particles over northwest BoB. Moreover, there was an increasing trend in wind convergence over northwest BoB. This led to increasing trends in the accumulation of aerosol particles over northwest BoB and, consequently, to strong AOT trends over this area. In contrast to October, November showed no increasing AOT trends over northwest BoB or the nearby Indian subcontinent. The lack of AOT trends over northwest BoB corresponds to a lack of trends in wind convergence in that region. Finally, December domestic heating by the growing population resulted in positive AOT trends of similar magnitude over land and sea. Our findings illustrate that in order to explain and predict trends in regional aerosol loading, meteorological trends should be taken into consideration together with changes in aerosol source strength.
Kishcha, P.; Starobinets, B.; Long, Charles N.; Alpert, P.
Session A1: Bilateral cooperation and technology transfer between France and China at Daya-Bay, Qinshan II and Yibin
The Daya-Bay nuclear power station in Guangdong Province, the Qinshan phase II nuclear power station (NPS) in Zhejiang Province, and the fuel manufacturing facility at Yibin in Sichuan Province have all afforded Framatome the opportunity to develop wide-ranging bilateral cooperation and technology transfer with the People`s Republic of China. These projects are all good examples of how a country with some nuclear power experience, such as the now-operating Qinshan 1 (300 MWe) nuclear power unit designed and built by China itself, can make much more rapid progress in its civil nuclear power program through cooperation with an industry leader, such as Framatome.
Ma Fubang; Zeng Wen Xing; He Jia Cheng [and others
We explore the spatio-temporal evolution of solar flares by fitting a radial expansion model r(t) that consists of an exponentially growing acceleration phase, followed by a deceleration phase that is parameterized by the generalized diffusion function r(t){proportional_to}{kappa}(t - t{sub 1}){sup {beta}/2}, which includes the logistic growth limit ({beta} = 0), sub-diffusion ({beta} = 0-1), classical diffusion ({beta} = 1), super-diffusion ({beta} = 1-2), and the linear expansion limit ({beta} = 2). We analyze all M- and X-class flares observed with Geostationary Operational Environmental Satellite and Atmospheric Imaging Assembly/Solar Dynamics Observatory (SDO) during the first two years of the SDO mission, amounting to 155 events. We find that most flares operate in the sub-diffusive regime ({beta} = 0.53 {+-} 0.27), which we interpret in terms of anisotropic chain reactions of intermittent magnetic reconnection episodes in a low plasma-{beta} corona. We find a mean propagation speed of v = 15 {+-} 12 km s{sup -1}, with maximum speeds of v{sub max} = 80 {+-} 85 km s{sup -1} per flare, which is substantially slower than the sonic speeds expected for thermal diffusion of flare plasmas. The diffusive characteristics established here (for the first time for solar flares) is consistent with the fractal-diffusive self-organized criticality model, which predicted diffusive transport merely based on cellular automaton simulations.
Aschwanden, Markus J., E-mail: firstname.lastname@example.com [Lockheed Martin Advanced Technology Center, Solar and Astrophysics Laboratory, Organization ADBS, Building 252, 3251 Hanover Street, Palo Alto, CA 94304 (United States)
Gifi Goes Logistic: SCASA Keynote
multiple deleted Smearing B-spline (order 2) Interactivespline coding Indicator Matrices and Indicator Super-matrix Missing Data a ? b ?
de Leeuw, Jan
PNNL Coal Gasifier Transportation Logistics
This report provides Pacific Northwest National laboratory (PNNL) craftspeople with the necessary information and suggested configurations to transport PNNL�s coal gasifier from its current location at the InEnTec facility in Richland, Washington, to PNNL�s Laboratory Support Warehouse (LSW) for short-term storage. A method of securing the gasifier equipment is provided that complies with the tie-down requirements of the Federal Motor Carrier Safety Administration�s Cargo Securement Rules.
Reid, Douglas J.; Guzman, Anthony D.
A mixed carbonate/clastic example in a restricted bay in a temperate carbonate shelf (Cala Fornells, northern Minorca Spain)
Cala Fornells is a restricted bay located in the northern section of the island Minorca. Cala Fornells has a surface area of 4 km{sup 2} and a maximum depth of 25 m at the mouth, which connects with the northern Minorca platform. Due to ephemeral streams with very fine textural inflow, the sedimentary facies present in the floor of the bay are primarily controlled by the bioclastic carbonate ecosystem production and the terrigenous input. The distribution of the facies is related to three major factors: (1) bathymetry, which controls the ecosystem distribution (Cymodocea nodosa-Caulerpa prolifera, Posidonia oceanica, and maeerl communities, from shallowest to deepest); (2) hydrodynamic conditions due to northern winds (locally called Tramuntana), which control the grain size distribution; and (3) local ephemeral streams, which control the terrigenous input. In the coarser fractions of the sediment (gravel and sand), the main component in the deepest zones are skeletal fragments of red algae. The shallowest zones contain fragments of the green alga Halimeda tuna, which may represent up to 50% of the total bioclastic fraction. The terrigenous components are mostly shales and only locally do they find a sand fragment of limestone and quartz grains. The organic matter content is very high (over 6% in the finest fractions), whereas in the more hydrodynamic and deeper facies (25 m) where the bioclastic fractions are predominant, the organic carbon content is below 0.5%.
Fornos, J.J.; Forteza, V.; Jaume, C.; Martinez-Taberner, A. (Univ. Illes Balears, Palma de Mallorca (Spain))
This report describes laboratory experiments in which neutron-activated 347 stainless steel specimens were exposed to clayey silt from Sequim Bay, Washington. The properties and trace metal geochemistry of the sediment and the amounts of corrosion products that were released under oxic and reduced conditions and their distribution among different chemical fractions of the sediment are discussed. The distributions of Cr, Mn, Fe, Ni and Cu among different chemical forms in the Sequim Bay sediment show that DTPA removed <10% of extractable Cr, Fe and Mn, approx. 20% of extractable Ni and approx. 30% of extractable Cu. The inorganic fraction (material soluble in 2.5% acetic acid) accounted for approx. 30% of total extractable Mn and approx. 10% or less of Cr, Fe, Ni and Cu. Major portions of Cr and Cu, and a large amount of Fe were in the organic fraction. Extractable Mn, Fe and Ni were associated with hydrous oxides likely as coatings on the mineral substrate of the sediment. No Co was detectable in any of the extracts. (PSB)
Air pollutant monitoring for the East Bay Children's Respiratory Health Study
This report describes the methodology and presents the summary results of the air pollutant monitoring program conducted by Lawrence Berkeley National Laboratory in support of the East Bay Children's Respiratory Health Study. The full study is examining the effects of chronic exposure to traffic-related pollutants on respiratory health among 3rd and 4th grade children attending ten neighborhood elementary schools in the San Francisco East Bay Area (Hayward, San Leandro and Oakland, CA). The demographically similar schools are located at varying distances from the I-880 and CA-92 freeways. Several schools were selected because they are located within 300 m in the predominant downwind direction (east) from either of the freeways. Measurements of multiple pollutants were made outdoors at the schools over 1-2 week intervals for 14 weeks in spring and eight weeks in fall 2001 using a custom-designed and validated package of commercially available monitoring equipment. Particulate matter was sampled over all hours (24 h per day) or during schools hours only with battery-operated programmable pumps and inlet devices for PM{sub 10} and PM{sub 2.5}. These pumps were modified to allow for up to 10 days of continuous operation. Fine particle mass and black carbon (BC) were determined from the collected filters. Nitrogen oxides (NO{sub x} and NO{sub 2}) were measured with passive samplers. Carbon monoxide (CO) was measured continuously with an electrochemical sensor. Gasoline-related volatile organic compounds (VOCs) were measured with passive samplers during three 4-week intervals in spring 2001 and two 4-week periods in early 2002. All samplers were deployed in a metal cabinet located outside at each school. Ranges of study average pollutant concentrations (all-hours) at the ten individual schools were: NO{sub x}, 33-68 ppb; NO{sub 2}, 19-31 ppb; PM{sub 10} mass, 27-32 {micro}g/m{sup 3}; PM{sub 2.5} mass, 12-15 {micro}g/m{sup 3}; and BC associated with PM{sub 2.5}, 0.6-1.0 {micro}g/m{sup 3}. Although statistical analysis of the data is yet to be performed, some general observations can be made. Absolute pollutant levels varied by season and week, but the simultaneous sampling design allowed for comparisons of concentrations among schools during each interval. Pollutant concentrations at each school were normalized to the sampling period averages among all schools. The normalized concentrations were generally consistent at each school throughout the entire study, suggesting that measured differences represent ongoing conditions and chronic exposures in the vicinities of the schools. Substantially elevated concentrations of NO{sub x}, NO{sub 2}, and BC, and somewhat elevated concentrations of PM{sub 2.5} were observed at one school located less than 100 meters to the east of I-880. Normalized concentrations of NO{sub x}, NO{sub 2}, and BC were also higher at the three other ''nearby and downwind'' schools relative to those located far from any freeway or other major traffic source. An ancillary monitoring program was implemented to examine the correlation between school-based pollutant measurements and measurements throughout the neighborhoods adjacent to three of the schools. Volunteer households were obtained from among the families of participating schoolchildren. Concentrations of NO{sub x} and NO{sub 2} were measured with passive samplers outside the homes of these volunteers during one of two 1-week periods in spring 2002. Simultaneous measurements were conducted at all ten of the schools and a central monitoring station during each week. The neighborhoods surrounding two schools were predominantly upwind of the I-880 freeway, while the neighborhood surrounding the other school was downwind from I-880. The overall distribution of concentrations observed for the residences near the downwind school appeared to be substantially higher than the regional background concentrations. The variability observed within the neighborhoods appeared to be, at least in part, explained by the proximity of individual residences to the freeway or
Singer, Brett C.; Hotchi, Toshifumi; Hodgson, Alfred T.
Long-Term Performance of Aanderaa Optodes and Sea-Bird SBE-43 Dissolved-Oxygen Sensors Bottom Mounted at 32 m in Massachusetts Bay
A field evaluation of two new dissolved-oxygen sensing technologies, the Aanderaa Instruments AS optode model 3830 and the Sea-Bird Electronics, Inc., model SBE43, was carried out at about 32-m water depth in western Massachusetts Bay. The optode ...
Marinna Martini; Bradford Butman; Michael J. Mickelson
This document describes the design of the Daya Bay reactor neutrino experiment. Recent discoveries in neutrino physics have shown that the Standard Model of particle physics is incomplete. The observation of neutrino oscillations has unequivocally demonstrated that the masses of neutrinos are nonzero. The smallness of the neutrino masses (<2 eV) and the two surprisingly large mixing angles measured have thus far provided important clues and constraints to extensions of the Standard Model. The third mixing angle, {delta}{sub 13}, is small and has not yet been determined; the current experimental bound is sin{sup 2} 2{theta}{sub 13} < 0.17 at 90% confidence level (from Chooz) for {Delta}m{sub 31}{sup 2} = 2.5 x 10{sup -3} eV{sup 2}. It is important to measure this angle to provide further insight on how to extend the Standard Model. A precision measurement of sin{sup 2} 2{theta}{sub 13} using nuclear reactors has been recommended by the 2004 APS Multi-divisional Study on the Future of Neutrino Physics as well as a recent Neutrino Scientific Assessment Group (NUSAG) report. We propose to perform a precision measurement of this mixing angle by searching for the disappearance of electron antineutrinos from the nuclear reactor complex in Daya Bay, China. A reactor-based determination of sin{sup 2} 2{theta}{sub 13} will be vital in resolving the neutrino-mass hierarchy and future measurements of CP violation in the lepton sector because this technique cleanly separates {theta}{sub 13} from CP violation and effects of neutrino propagation in the earth. A reactor-based determination of sin{sup 2} 2{theta}{sub 13} will provide important, complementary information to that from long-baseline, accelerator-based experiments. The goal of the Daya Bay experiment is to reach a sensitivity of 0.01 or better in sin{sup 2} 2{theta}{sub 13} at 90% confidence level.
production in the Gulf of Mexico. NOAA GOMEX Final Report (OTEC site in the Gulf of Mexico; 27.5�N, 85.50N. NOAA Tech.SITE IN THE EASTERN GULF OF MEXICO OFF TAMPA BAY Mark E.
Flock, Mark E.
Environmental Assessment for the Methane Energy and Agricultural Development Port of Tillamook Bay Dairy Digester Project Tillamook County, Oregon (01/02)
2 2 ENVIRONMENTAL ASSESSMENT METHANE ENERGY and AGRICULTURAL DEVELOPMENT PORT of TILLAMOOK BAY DAIRY DIGESTER PROJECT TILLAMOOK COUNTY, OREGON January 2002 U.S. Department of Energy National Energy Technology Laboratory National Environmental Policy Act (NEPA) Compliance Cover Sheet Proposed Action: The U.S. Department of Energy (DOE) proposes to provide funds for the construction and start-up of a manure digester at the Port of Tillamook Bay (POTB) Industrial Park, Tillamook County, Oregon. If approved, DOE would provide funding to construct this dairy digester that would produce the following marketable products; 295 kW of electric power from biogas, hot water used to maintain the temperature of the digester, and about 30 cubic yards per year of solids for composting.
Bay Ridge Gardens - Mixed Humid Affordable Multifamily Housing Deep Energy Retrofit: Annapolis, Maryland. Building America Case Study: Efficient Solutions for New and Existing Homes (Fact Sheet)
Under this project, Newport Partners (as part of the BA-PIRC research team) evaluated the installation, measured performance, and cost-effectiveness of efficiency upgrade measures for a tenant-in-place DER at the Bay Ridge multifamily (MF) development in Annapolis, Maryland. The design and construction phase of the Bay Ridge project was completed in August 2012. This report summarizes system commissioning, short-term test results, utility bill data analysis, and analysis of real-time data collected over a one-year period after the retrofit was complete. The Bay Ridge project is comprised of a "base scope" retrofit which was estimated to achieve a 30%+ savings (relative to pre-retrofit) on 186 apartments, and a "DER scope" which was estimated to achieve 50% savings (relative to pre-retrofit) on a 12-unit building. The base scope was applied to the entire apartment complex, except for one 12-unit building which underwent the DER scope. A wide range of efficiency measures was applied to pursue this savings target for the DER building, including improvements/replacements of mechanical equipment and distribution systems, appliances, lighting and lighting controls, the building envelope, hot water conservation measures, and resident education. The results of this research build upon the current body of knowledge of multifamily retrofits. Towards this end, the research team has collected and generated data on the selection of measures, their estimated performance, their measured performance, and risk factors and their impact on potential measures.
Design and evaluation of a gravity-stable, miscible CO/sub 2/-solvent flood, Bay St. Elaine Field
A gravity-stable miscible CO/sub 2/-solvent flood is underway in the Bay St. Elaine Field, South Louisiana. A 33% pore volume CO/sub 2/-solvent slug was injected into a dipping water drive reservoir and is being pushed downdip by the injection of nitrogen gas. The CO/sub 2/ solvent selected for this tertiary flood was tailored by the addition of methane and n-butane to the carbon dioxide. This CO/sub 2/-solvent provides the density difference required to complete a gravity-stable flood within the desired time period and also satisfies the minimum miscibility pressure requirements at reservoir conditions. The paper presents laboratory experimental work performed and process design work required to undertake this type of enhanced recovery project. The results obtained from slim tube tests to determine the CO/sub 2/-solvent composition are presented as well as results of 12-foot sand pack displacement tests to evaluate the recovery efficiency of the selected CO/sub 2/-solvent. Procedures used to determine the mixing zone lengths needed for CO/sub 2/-solvent slug design are discussed along with the method of calculating critical velocity. Pressure pulse tests conducted to improve reservoir definition within the project area are reviewed. In situ residual oil saturations for the unconsolidated sand determined from pressure cores, log-injectlog water flood tests, single well partitioning tracer tests, and open hole well logs are presented. Field injection and current production data are also analyzed.
Nute, A.J.
Evidence for the compaction of feldspar-rich cumulates in the Pleasant Bay layered intrusion, coastal Maine
The Pleasant Bay intrusion is roughly 12 km by 20 km. It consists of prominent rhythmic layers, up to 100 m thick, that grade from chilled gabbro on the base, to coarse-grained gabbroic, dioritic, or granitic rocks on the top. These layers were formed by multiple injections of basalt into a large chamber of silicic magma. The focus of this study is on one layer that is about 100 m thick, and is overlain by another basally chilled gabbroic layer at least 50 m thick. Silicic pipes and veins extend upward into the overlying gabbroic chill. The lower part of the layer has dominant calcic plagioclase, An60, augite, and olivine, with subordinate hornblende and biotite. The uppermost part has dominant sodic plagioclase, An20, and two pyroxenes with subordinate quartz, K-feldspar and hornblende. SiO[sub 2] and MgO vary from 49% and 5% at the base to 58% and 1% at the top, respectively. The top 7 m of this layer are characterized by variably deformed minerals. The deformation grades from bent biotite and plagioclase near the bottom to sutured plagioclase at the top. Pockets of undeformed quartz and K-feldspar in the uppermost rocks demonstrate that interstitial liquid was present during a after compaction. The pipes and veins probably represent trapped liquid and some crystals that were expelled into the overlying gabbroic chill.
Horrigan, E.K. (Franklin and Marshall College, Lancaster, PA (United States))
Bay Ridge Gardens - Mixed Humid Affordable Multifamily Housing Deep Energy Retrofit, Annapolis, Maryland (Fact Sheet), Building America Case Study: Efficient Solutions for New and Existing Homes, Building Technologies Office (BTO)
Bay Ridge Gardens-Mixed Bay Ridge Gardens-Mixed Humid Affordable Multifamily Housing Deep Energy Retrofit Annapolis, Maryland PROJECT INFORMATION Construction: Existing Type: Apartment building: Bay Ridge Gardens Annapolis, MD www.bayridgegardens.com Size: 12 apartment units, 713 ft 2 and 909 ft 2 each Year of construction: 1970s Date completed: 2013 Climate Zone: Mixed-humid PERFORMANCE DATA Pre-retrofit annual energy use (normalized): 28.4 kilowatt-hour per square foot (kWh/ft 2 ) Post-retrofit annual energy use (normalized): 16.3 kWh/ft 2 Percent energy savings: 43% Incremental cost of energy efficiency measures: $85,996 Monetized annual energy savings: $6,900 Savings to Investment Ratio: 1.1 Significant energy savings-43% in this case-are possible in older multifamily
Center, Marine Environmental Management Office; Reproducedby the Marine Environmental Management Office of the Naval
Florida Bay Program & Abstracts
Beth Miller-Tipton and her staff at the University of Florida/IFAS Office of Conferences and Institutes SITE: http://www.floridamarine.org Ms. Beth Miller-Tipton, Director, University of Florida/IFAS, Office Rickenbacker Causeway, Miami, FL 33149, PH: (305) 361-4388, FAX: (305) 361-4392, E-Mail: welcher
Watson, Craig A.
yearly intervals. Cooling water intake system demonstration.sewage spills. Cooling water intake system demonstration ..summary cooling water intake system demonstration (in
Resource intensification in pre-contact central California: a bioarchaeological perspective on diet and health patterns among hunter-gatherers from the lower Sacramento Valley and San Francisco Bay
In this study, I use bioarchaeological data derived from human burials to evaluate subsistence change in mid-to-late Holocene central California (circa 4950-200 B.P.). Previous investigations in the region have proposed two competing models to account for changes in subsistence patterns. The seasonal stress hypothesis argues that the increased reliance on acorns and small seeds during the late Holocene led to improved health status, since these resources could be stored and used as a �?buffer�? against seasonal food shortages. In contrast, resource intensification models predict temporal declines in health during the late Holocene, as measured by a decline in dietary quality and health status, increased population crowding, and greater levels of sedentism. I test the hypothesis that health status, as measured by childhood stress and disease indicators, declined during the late Holocene in central California. I analyzed 511 human skeletons from ten archaeological sites in the Sacramento Valley and San Francisco Bay area to investigate temporal and spatial variability in diet and health. I analyzed a subset (n = 111) of this sample to evaluate prehistoric dietary patterns using carbon and nitrogen stable isotope ratios. Indicators of health status show significant temporal and regional variation. In the Valley, tibial periosteal reactions, porotic hyperostosis, and enamel hypoplasias significantly increased through time, implying a decline in health status. In the Bay, health indicators show little temporal variability. However, inter-regional comparisons indicate a higher prevalence of stress and disease indicators among Bay Area skeletons than in the Valley skeletal series. The stable isotope data from human bone collagen and apatite also indicate significant interregional differences in prehistoric diets between the Bay and the Valley. In the Bay, diets shifted from high trophic level marine foods to a more terrestrially focused diet over time. In the Valley, there are no significant dietary trends observed in the data. Dental caries and antemortem tooth loss are significantly more prevalent in the Valley than in the Bay, and closely match the isotopic findings. The paleopathological findings provide support for late Holocene resource intensification models posited for the Valley, but not for the Bay Area.
Bartelink, Eric John
The Pacific Gas & Electric Company (PG&E) operated the Humboldt Bay Power Plant (HBPP) Unit 3 nuclear reactor near Eureka, California under Atomic Energy Commission (AEC) provisional license number DPR-7. HBPP Unit 3 achieved initial criticality in February 1963 and began commercial operations in August 1963. Unit 3 was a natural circulation boiling water reactor with a direct-cycle design. This design eliminated the need for heat transfer loops and large containment structures. Also, the pressure suppression containment design permitted below-ground construction. Stainless steel fuel claddings were used from startup until cladding failures resulted in plant system contamination�zircaloy-clad fuel was used exclusively starting in 1965 eliminating cladding-related contamination. A number of spills and gaseous releases were reported during operations resulting in a range of mitigative activities (see ESI 2008 for details).
W.C. Adams
An intact chest from the 1686 French shipwreck La Belle, Matagorda Bay, Texas: artifacts from the La Salle colonization expedition to the Spanish Sea
In 1995 Texas Historical Commission (THC) staff and a team of researchers discovered a shipwreck in the mud of Matagorda Bay. Preliminary artifact recovery included a decorated bronze cannon that identified the wreck as la Belle, the fourth and final vessel of the ill-fated venture to found a colony on the Texas coast by French explorer Robert Cavalier Sieur de La Salle. A full excavation of the site was conducted in the following years. Among the items recovered was an intact chest (Artifact No. 11500) which at the time became known as the Belle Mystery Chest. Initial inspection revealed that the chest was most likely a repository for various tools, but further work revealed a sundry collection of artifacts. Subsequent artifact analysis determined the tools to be instruments used in a variety of occupations ranging from that of French wine coopering to those of agricultural, military, and maritime endeavors. Historical research primarily using the firsthand reports from the expedition??s survivors suggest the chest was first boarded in France on one of La Salle??s other ship??s, l??Aimable, unloaded prior to that vessel??s wrecking at the mouth of Matagorda Bay, taken to the new settlement by way of la Belle, and eventually returned to the ship just prior to its sinking. Records verify that La Salle often claimed the possessions of the dead and that he ordered the ship reloaded with his personal goods and other supplies before it sank. Along with two artifacts with differing ownership initials and the sheer diversity of the chest??s contents, these clues suggest that the chest may have been a repository for various utilitarian items collected by La Salle before the loss of la Belle in January of 1686.
West, Michael Carl
Volvo Logistics Corporation Returnable Packaging System.
?? This thesis is a study for analysing costs affected by packaging in a producing industry. The purpose is to develop a model that will� (more)
Beselin Hallberg, Jacob
World Oil Refining Logistics Demand Model
Reports and Publications (EIA)
This manual is intended primarily for use as a reference by analysts applying the WORLD model to regional studies. It also provides overview information on WORLD features of potential interest to managers and analysts.
Information Center
Evolving a global armaments logistics strategy
Few companies globally source and manage commercial transportation for frequent and high volumes of explosive cargo for the U. S. Department of Defense. U.S. regulations are strict and economically competitive options are ...
Peck, Nathan (Nathan W.)
Transportation context of Latin American logistics
Through increasing globalization and trade liberalization, many third-world and developing countries are experiencing levels of growth that are quickly shifting the world's balance of political and economic power. China ...
Sweat, Sean D. (Sean David)
Alternative Fuels, Vehicle Technologies and Urban Logistics
Presenters Ken Laberteaux, Toyota Research Institute-Northcapabilities. Credit: Toyota pathway toward reducing
Witt, Maggie
Center have deployed 10 conventional Prius hybrid vehiclesand 10 Prius plug-in hybrid vehicles (PHVs) in real-world
Gifi Goes Logistic: SCASA 2005 Keynote
Increasing Return on Assets through insourcing logistics
Insourcing and vertical integration often allow companies to gain competitive advantage by exercising a greater degree of control over their supply chain. In the case of ABC Oilfield Services, insourcing the transportation ...
Ghose, Devjit
Carbon management in assembly manufacturing logistics
In this paper, we present the IBM Carbon Analyzer Tool, a software solution that models and quantifies carbon emissions and explores ways to reduce emissions through advanced analytics. The tool is designed to manage carbon emissions associated with ...
K. Sourirajan; P. Centonze; M. E. Helander; K. Katircioglu; M. Ben-Hamida; C. Boucher
Energy Information Administration 1000 Independence Avenue, S.W., Washington, DC 20585. ... OB1 Optimization with Barriers 1 OSL Optimization Subroutine Library
NERSC/DOE NP Requirements Workshop Logistics
(BES) Biological and Environmental Science (BER) Fusion Energy Sciences (FES) High Energy Physics (HEP) Nuclear Physics (NP) Agenda Hotel Case Studies Participants...
NERSC/DOE BER Requirements Meeting Logistics
Math & Computer Science Nuclear Science Science Highlights HPC Requirements Reviews Basic Energy Sciences Fusion Energy Sciences (FES) High Energy Physics (HEP) Biological and...
Key performance indicators in humanitarian logistics
Non-profit humanitarian relief organizations have typically been unable to measure the performance of their supply chains due to an inability to centrally capture data from operations. With the recent development and ...
Davidson, Anne Leslie
Defense waste transportation: cost and logistics studies
Transportation of nuclear wastes from defense programs is expected to significantly increase in the 1980s and 1990s as permanent waste disposal facilities come into operation. This report uses models of the defense waste transportation system to quantify potential transportation requirements for treated and untreated contact-handled transuranic (CH-TRU) wastes and high-level defense wastes (HLDW). Alternative waste management strategies in repository siting, waste retrieval and treatment, treatment facility siting, waste packaging and transportation system configurations were examined to determine their effect on transportation cost and hardware requirements. All cost estimates used 1980 costs. No adjustments were made for future changes in these costs relative to inflation. All costs are reported in 1980 dollars. If a single repository is used for defense wastes, transportation costs for CH-TRU waste currently in surface storage and similar wastes expected to be generated by the year 2000 were estimated to be 109 million dollars. Recovery and transport of the larger buried volumes of CH-TRU waste will increase CH-TRU waste transportation costs by a factor of 70. Emphasis of truck transportation and siting of multiple repositories would reduce CH-TRU transportation costs. Transportation of HLDW to repositories for 25 years beginning in 1997 is estimated to cost $229 M in 1980 costs and dollars. HLDW transportation costs could either increase or decrease with the selection of a final canister configuration. HLDW transportation costs are reduced when multiple repositories exist and emphasis is placed on truck transport.
Andrews, W.B.; Cole, B.M.; Engel, R.L.; Oylear, J.M.
Center for Excellence in Logistics and Distribution
Research Lab Air Liquide Arizonia Department of Transportation Arkansas Electric Cooperative BWXT/Pantex
Noble, James S.
NERSC/DOE FES Requirements Workshop Logistics
Department of Energy's Office of Fusion Energy Sciences and Office of Advanced Scientific Computing Research (ASCR) to elucidate computing requirements for fusion energy sciences...
NERSC/DOE BES Requirements Workshop Logistics
Department of Energy's Office of Basic Energy Sciences and Office of Advanced Scientific Computing Research (ASCR) to elucidate computing requirements for high energy physics...
University of Waterloo: Logistic Regression and Reciprocal ...
... Rank Fusion at the Microblog Track ... Buettcher. Reciprocal rank fusion out- performs condorcet and individual rank learning methods. ...
Finding of No Significant Impact for the Storage of Tritium-Producing Burnable Absorber Rods in K-Area Transfer Bay at the Savannah River Site (DOE/EA-1528) (06/01/05)
the the Storage of Tritium-Producing Burnable Absorber Rods in K-Area Transfer Bay at the Savannah River Site Agency: U.S. Department of Energy (DOE) Action: Finding of No Significant Impact Summary: The DOE Savannah River Operations Office (SR) and the National Nuclear Security Administration (NNSA) Savannah River Site Office (SRSO) have prepared an environmental assessment (EA), DOE/EA-1528, to evaluate the potential environmental impacts of the temporary dry storage of a cask containing Tritium- Producing Burnable Absorber Rods (TPBARs) in the Transfer Bay in K Area at the Savannah River Site (SRS). Based on the analyses in the EA, DOE has determined that the proposed action is not a major Federal action significantly affecting the quality of the
DOE/EA-1528: Environmental Assessment for the Storage of Tritium-Producing Burnable Absorber RODs in K-Area Transfer Bay at the Savannah River Site (6/2/05)
28 28 JUNE 2005 U. S. DEPARTMENT OF ENERGY SAVANNAH RIVER OPERATIONS OFFICE SAVANNAH RIVER SITE ENVIRONMENTAL ASSESSMENT FOR THE STORAGE OF TRITIUM-PRODUCING BURNABLE ABSORBER RODS IN K-AREA TRANSFER BAY AT THE SAVANNAH RIVER SITE DOE/EA-1528 ENVIRONMENTAL ASSESSMENT FOR THE STORAGE OF TRITIUM-PRODUCING BURNABLE ABSORBER RODS IN K-AREA TRANSFER BAY AT THE SAVANNAH RIVER SITE June 2005 U. S. DEPARTMENT OF ENERGY SAVANNAH RIVER OPERATIONS OFFICE SAVANNAH RIVER SITE This page is intentionally left blank ii TABLE OF CONTENTS Page 1.0 INTRODUCTION 1 1.1 Background 1 1.2 Purpose and Need for Action 2 2.0 PROPOSED ACTION AND ALTERNATIVES 2 2.1 Proposed Action 2 2.2 Alternatives to the Proposed Action 3
Photo Identification, Summer Activity Pattern, Estimated Field Metabolic Rate and Territory Quality of Adult Male Sea Otters (Enhydra lutris) in Simpson Bay, Prince William Sound, Alaska
This project describes a portion of a long-term study of the behavioral ecology of sea otters. Sub-studies of this project include the development of an individual recognition program for sea otters, the construction of male sea otter activity and energy budgets, and the assessment of male sea otter territory quality. The Sea Otter Nose Matching Program, or "SONMaP", was developed to identify individual sea otters in Simpson Bay, Prince William Sound, Alaska, using a blotch-pattern recognition algorithm based on the shape and location of nose scars. The performance of the SONMaP program was tested using images of otters collected during the 2002-03 field seasons, and previously matched by visually comparing every image in a catalog of 1,638 animals. In 48.9% of the visually matched images, the program accurately selected the correct image in the first 10% of the catalog. Individual follows and instantaneous sampling were used during the summers of 2004-06, to observe male sea otter behavior. Six behaviors (foraging, grooming, interacting with other otters, patrolling, resting, and surface swimming) were observed during four time periods (dawn, day, dusk, night) to create 24-hr activity budgets. Male sea otters spent 27% of their time resting, 26% swimming, 19% grooming, 14% foraging, 9% patrolling and 5% interacting with other otters. Field Metabolic Rate (FMR) was estimated by combining the energetic costs for foraging, grooming, resting, and swimming behaviors of captive otters from Yeates et al. (2007) with these activity budgets. "Swimming" accounted for the greatest percentage (43%) of energy expended each day followed by grooming (23%), resting (15%), feeding (13%) and other (5%). With a peak summer sea otter density of 5.6 otters km-2, the low percentage of time spent foraging indicates that Simpson Bay is below equilibrium density. Territory quality was assessed for male sea otters using four attributes: territory size, shoreline enclosure, accessibility, and number of females observed feeding in each territory. Each attribute was coded with a score of 0-2, and total quality scores ranged from 0.14-1.96 (0.9 + 0.61 SD). High quality territories had large areas, moderate shoreline enclosure, high accessibility, and many foraging females.
Finerty, Shannon E.
Interim results are presented from the project designed to characterize, quantify, and determine the commercial feasibility of Alaska North Slope (ANS) gas-hydrate and associated free-gas resources in the Prudhoe Bay Unit (PBU), Kuparuk River Unit (KRU), and Milne Point Unit (MPU) areas. This collaborative research will provide practical input to reservoir and economic models, determine the technical feasibility of gas hydrate production, and influence future exploration and field extension of this potential ANS resource. The large magnitude of unconventional in-place gas (40-100 TCF) and conventional ANS gas commercialization evaluation creates industry-DOE alignment to assess this potential resource. This region uniquely combines known gas hydrate presence and existing production infrastructure. Many technical, economical, environmental, and safety issues require resolution before enabling gas hydrate commercial production. Gas hydrate energy resource potential has been studied for nearly three decades. However, this knowledge has not been applied to practical ANS gas hydrate resource development. ANS gas hydrate and associated free gas reservoirs are being studied to determine reservoir extent, stratigraphy, structure, continuity, quality, variability, and geophysical and petrophysical property distribution. Phase 1 will characterize reservoirs, lead to recoverable reserve and commercial potential estimates, and define procedures for gas hydrate drilling, data acquisition, completion, and production. Phases 2 and 3 will integrate well, core, log, and long-term production test data from additional wells, if justified by results from prior phases. The project could lead to future ANS gas hydrate pilot development. This project will help solve technical and economic issues to enable government and industry to make informed decisions regarding future commercialization of unconventional gas-hydrate resources.
Robert Hunter; Shirish Patil; Robert Casavant; Tim Collett
Resource Characterization and Quantification of Natural Gas-Hydrate and Associated Free-Gas Accumulations in the Prudhoe Bay - Kuparuk River Area on the North Slope of Alaska
Natural gas hydrates have long been considered a nuisance by the petroleum industry. Hydrates have been hazards to drilling crews, with blowouts a common occurrence if not properly accounted for in drilling plans. In gas pipelines, hydrates have formed plugs if gas was not properly dehydrated. Removing these plugs has been an expensive and time-consuming process. Recently, however, due to the geologic evidence indicating that in situ hydrates could potentially be a vast energy resource of the future, research efforts have been undertaken to explore how natural gas from hydrates might be produced. This study investigates the relative permeability of methane and brine in hydrate-bearing Alaska North Slope core samples. In February 2007, core samples were taken from the Mt. Elbert site situated between the Prudhoe Bay and Kuparuk oil fields on the Alaska North Slope. Core plugs from those core samples have been used as a platform to form hydrates and perform unsteady-steady-state displacement relative permeability experiments. The absolute permeability of Mt. Elbert core samples determined by Omni Labs was also validated as part of this study. Data taken with experimental apparatuses at the University of Alaska Fairbanks, ConocoPhillips laboratories at the Bartlesville Technology Center, and at the Arctic Slope Regional Corporation's facilities in Anchorage, Alaska, provided the basis for this study. This study finds that many difficulties inhibit the ability to obtain relative permeability data in porous media-containing hydrates. Difficulties include handling unconsolidated cores during initial core preparation work, forming hydrates in the core in such a way that promotes flow of both brine and methane, and obtaining simultaneous two-phase flow of brine and methane necessary to quantify relative permeability using unsteady-steady-state displacement methods.
Shirish Patil; Abhijit Dandekar
Vision Office Products
It is at the extreme western end of the road network that serves the Prudhoe Bay oil field complex. So it can draw upon the excellent logistical facilities available in...
A geographic information system (GIS) based determination of estuarine and marine wetland and shoreline changes in the Galveston Bay estuary from 1995 to 2002
The purpose of this study was to identify and quantify estuarine and marine wetland and shore changes circa Galveston Bay Estuary (GBE) from 1995 to 2002 by using aerial photography and GIS mapping techniques. Aerial photographs in digital format were acquired from Texas Natural Resource Information System (TNRIS) and the Houston Galveston Area Council (HGAC); these photographs were selected because the images were taken at the time period desired, existed in digital formats at resolutions of 1 m or greater, and were in coordinate systems that were already in or could be properly aligned and georeferenced. Maps for each of thirty quadrangles that include estuarine and/or marine habitats around the GBE were created, depicting wetlands and shorelines for the years 1995 and 2002 as well as changes between the two time periods. Polygons representing different habitats in 1995 were drawn while working at a scale of 1:4,000 or greater. Maps of habitats in 2002 and maps showing changes from 1995 to 2002 were produced by modifying individual 1995 polygons to document boundary shifts or habitat changes from 1995 to 2002. All resulting maps were constructed at 1:24,000 scale in UTM NAD 83 coordinate system to match USGS quad maps. Areas of each habitat in 1995 and 2002 and changes between the two years were calculated in acres and comparisons were made. There were four objectives developed to be examined by the creation of the new set of maps for GBE. They were to determine habitat changes during the time period in question, effectiveness of mapping technique, where differences in change occurred, and what type (i.e. erosion, development, accretion, etc.) of change occurred. My analyses of these maps indicated that there were 117,670 acres of estuarine wetlands and 21,983 acres of unconsolidated estuarine and marine shores present in 1995. In 2002, these values changed to 116,534 acres of estuarine wetlands and 21,630 acres of estuarine and marine shores. The rate of wetland loss was estimated as 162 acres per year or 0.1% of all wetlands annually from 1995 to 2002. This rate has slowed from the previous rate of 405 acres per year or 0.4% in 1979 and remained the same as the 161 acres per year or 0.1% reported in 1993 for the GBE. Further, the results of my analyses indicated that losses from direct human influences (e.g. development, dredging, and filling) were less than losses associated with natural processes like erosion and subsidence.
Taylor, Christina Claudette
Living museum of the bay : Chesapeake Bay Aquarium
This thesis is the design of an aquarium in the industrial city of Newport News, Virginia The focus is a living museum that illustrates the diversity beauty and grandeur of a precious yet fragile estuary, the Chesapeake ...
Dickerson, Jason Allen
BNL | Daya Bay Neutrino Experiment
halls buried beneath the adjacent hills house a total of six detectors, shielded by the earth from disruptive cosmic rays. The cylindrical antineutrino detectors are also...
Bay Area ATIS Testbed Plan
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Khattak, Asad; Al-deek, Haitham; Yim, Youngbin; Hall, Randolph
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Investigations into the effects of environmental and physical variables on the growth of natural and transplanted populations of Ruppia maritima L. s.l. in the Galveston Bay System, Texas
The effects of sixteen environmental and physical variables on the growth of six natural populations and on the establishment and growth of transplanted populations of widgeon grass, Ruppia maritima L. s.l., were evaluated in the Galveston Bay System, Texas. Growth differences in natural populations among different basin morphologies and tidal regimes were examined. Sediment texture influenced the percent cover of widgeon grass the greatest of the variables studied. High silt content and low sand content in the sediments resulted in greater percent cover of widgeon grass than sediments with low silt and high sand content. Water temperature significantly influenced the stem lengths of widgeon grass; warm temperatures stimulated longer plant lengths, while cold water temperatures resulted in reduced stem lengths. Marshes and tidal habitats exhibited perennial growth patterns of widgeon grass as compared to annual growth patterns found in ponds, lakes, and semitidal habitats. Ponds, lakes, and semitidal habitats generally had significantly higher percent cover and stem lengths than marshes and tidal habitats; except in periods of drought. The effects of sixteen environmental and physical variables on the growth and establishment of transplanted widgeon grass, Ruppia maritima L. s.l., in the Galveston Bay System, were analyzed. Growth differences between different transplant spacings (1 meter, 0.5 meters and 0.25 meters) also were studied. Various fetch distances had the greatest significant influence on the establishment and growth of transplanted widgeon grass. Greater fetch distances resulted in reduced growth of transplants due to increased wave action that the transplants were subjected to. There was no significant difference in widgeon grass growth among the transplant spacings. In conclusion, I found that widgeon grass can be successfully transplanted onto submerged bare sediments in areas of low fetch distances. Transplanting widgeon grass into internal open water areas designed with low fetch distances in saltmarsh restoration projects can increase habitat diversity and function. Efforts should concentrate on designing suitable habitat into restoration plans rather than transplanting large quantities of plant material.
Schubert, William James
Microsoft Word - BingQuestionThreeLogistics0830.doc
Review of Transportation Issues and Comparison of Infrastructure Costs for a Renewable Fuels Standard September 2002 ii Contacts This report was prepared by the Office of Integrated Analysis and Forecasting of the Energy Information Administration. General questions concerning the report may be directed to Mary J. Hutzler (202/586- 2222, email@example.com), Director, Office of Integrated Analysis and Forecasting, or James Kendell (202/586-9646, firstname.lastname@example.com), Director, Oil and Gas Division. Specific questions about the report may be directed to the following analyst: Amar Mann 202/586-2854 firstname.lastname@example.com Energy Information Administration/Review of Transportation Issues and Comparison 1 Review of Transportation Issues and Comparison of
Overview of AREVA Logistics Business Unit Capabilities and Expertise...
Working Group Topic Groups Rail Key Documents Planning Subgroup Disposition of DOE Excess Depleted Uranium, Natural Uranium, and Low-Enriched Uranium EA-1607: Final Environmental...
Logistics planning under uncertainty for disposition of radioactive wastes
The US Department of Energy (DOE) faces an enormous environmental remediation challenge involving highly radioactive wastes at former weapons production facilities. The purpose of this analysis is to focus on equipment acquisition and fleet sizing issues ...
George F. List; Bryan Wood; Mark A. Turnquist; Linda K. Nozick; Dean A. Jones; Craig R. Lawton
Unintended environmental impacts of nighttime freight logistics activities
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Sathaye, Nakul; Harley, Robert; Madanat, Samer
OST opens new logistics support site | National Nuclear Security...
employees and a fully functional vehicle maintenance facility. The nearly 40,000 square foot warehouse and 29,000 square foot vehicle maintenance facility sit on 39 acres of...
Optimizing logistics in a lean international supply chain
Since the signing of NAFTA in 1993, North American automotive OEMs have moved final assembly and other manufacturing operations from domestic locations to international locations. Mexico provides a relatively inexpensive ...
Frys, Peter
2010. 3.27 - 3.29. 6 Electric Power Research Institute. The Green Grid. 2008. 5-3. 7 McKinsey. Unlocking Energy Efficiency in the US Economy. July 2009. seen as important for...
Septic shock : providing early warnings through multivariate logistic regression models
(cont.) The EWS models were then tested in a forward, casual manner on a random cohort of 500 ICU patients to mimic the patients' stay in the unit. The model with the highest performance achieved a sensitivity of 0.85 and ...
Shavdia, Dewang
Cellulosic Biomass Feedstocks and Logistics for Ethanol Production
The economic competitiveness of cellulosic ethanol production is highly dependent on feedstock cost, which constitutes 35�50% of the total ethanol production cost, depending on various geographical factors and the types of systems used for harvesting, collecting, preprocessing, transporting, and handling the material. Consequently, as the deployment of cellulosic ethanol biorefi neries approaches, feedstock cost and availability are the driving factors that infl uence pioneer biorefi nery locations and will largely control the rate at which this industry grows. Initial scenarios were postulated to develop a pioneer dry feedstock supply system design case as a demonstration of the current state of technology. Based on this pioneer design, advanced scenarios were developed to determine key cost barriers, needed supply system improvements, and technology advancements to achieve government and private sector cost targets. Analysis of the pioneer supply system resulted in a delivered feedstock cost to the throat of the pretreatment reactor of $37.00 per dry tonne (2002 $). Pioneer supply systems will start by using current infrastructure and technologies and be individually designed for biorefi neries using specifi c feedstock types and varieties based on local geographic conditions. As the industry develops and cost barriers are addressed, the supply systems will incorporate advanced technologies that will eliminate downstream diversity and provide a uniform, tailored feedstock for multiple biorefi neries located in different regions.
J. Richard Hess; Christopher T. Wright; Kevin L. Kenney
August 2009 Inbound Logistics In today's global business environment,
Worldport in Louisville, Ky., was designed to reduce the operation's environmental impact. Worldport. NOTEWORTHY: In 2007, BNSF became the first railroad to pilot the use of low-emission, natural- gas hostler were used for all one- way and exchange pallet trips, disposal of wood pallets by burning or landfill
Logistics barriers for multinational corporations doing business in China
With rapid economic growth, China attracts many multinational corporations (MNCs) as a manufacturing center with both its cheap labor cost and a huge consumer market. While doing business in China, most MNCs have faced ...
Luo, Manqin, 1976-
Oil-derivatives pipeline logistics using discrete-event simulation
The management of oil-product pipelines represents a critical task in the daily operation of petroleum supply chains. Efficient computational tools are needed to perform this activity in a reliable and cost-effective manner. This work presents a novel ...
Vanina G. Cafaro; Diego C. Cafaro; Carlos A. M�ndez; Jaime Cerd�
version Facebook Twitter Youtube Flickr NNSA Blog October 2013 (1) September 2013 (18) August 2013 (17) July 2013 (20) June 2013 (19) May 2013 (25) April 2013 (17) March 2013...
World Oil Refining Logistics Demand Model "World" Reference Manual
The use of the logistic curve in forecasting mineral production
Introduction: The most apparent characteristic of the modern world economy is change, various in type, frequent in occurrence, and often striking. It is to be expected that economists have tried to approach these changes ...
White, James Anthony Lawrence
Level loading and cross docking in a global logistics network
There are various reasons why companies manufacture their goods in different areas of the world. These reasons include: lower labor costs, emerging markets, tax and tariff considerations, and intellectual property issues. ...
Palmer, John M. (John Michael)
NBP RFI-Addressing Policy and Logistical Challenges to Smart...
generation, transmission, distribution and consumption of electricity to provide greater automation, increase reliability, improve efficiency and reduce energy consumption. NBP...
The floating marketplace of San Juan Bay
This thesis seeks to establish the marketplace as a temporal and spatial event that affects a city in a meaningful way. The marketplace was the site of greatest congestion, activity and drama in many cities, often combining ...
Carbonell, Jorge (Jorge R.), 1975-